commit 7537dbe9dfcff7698566ff346109957d3416d820 Author: ModelHub XC Date: Fri Jul 17 23:37:28 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: fpadovani/eus-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..3e62c0a --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: fpadovani/eus-latn-10mb-ppt-shuff-dyck-10mb_seed3407 +library_name: transformers +model_name: eus-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407 +tags: +- generated_from_trainer +- trl +- sft +licence: license +--- + +# Model Card for eus-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407 + +This model is a fine-tuned version of [fpadovani/eus-latn-10mb-ppt-shuff-dyck-10mb_seed3407](https://huggingface.co/fpadovani/eus-latn-10mb-ppt-shuff-dyck-10mb_seed3407). +It has been trained using [TRL](https://github.com/huggingface/trl). + +## Quick start + +```python +from transformers import pipeline + +question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" +generator = pipeline("text-generation", model="fpadovani/eus-latn-10mb-after-ppt-shuff-dyck-10mb-ckpt500_seed3407", device="cuda") +output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] +print(output["generated_text"]) +``` + +## Training procedure + +[Visualize in Weights & Biases](https://wandb.ai/f-padovani-university-of-groningen/new_tokenizers/runs/mciq0efk) + + +This model was trained with SFT. + +### Framework versions + +- TRL: 0.23.0 +- Transformers: 4.56.2 +- Pytorch: 2.11.0 +- Datasets: 4.8.4 +- Tokenizers: 0.22.1 + +## Citations + + + +Cite TRL as: + +```bibtex +@misc{vonwerra2022trl, + title = {{TRL: Transformer Reinforcement Learning}}, + author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, + year = 2020, + journal = {GitHub repository}, + publisher = {GitHub}, + howpublished = {\url{https://github.com/huggingface/trl}} +} +``` \ No newline at end of file diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1000/added_tokens.json b/checkpoint-1000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-1000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1000/config.json b/checkpoint-1000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-1000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-1000/generation_config.json b/checkpoint-1000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-1000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-1000/model.safetensors b/checkpoint-1000/model.safetensors new file mode 100644 index 0000000..e81b1b7 --- /dev/null +++ b/checkpoint-1000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:03c6b40c906bcb7baf6b54df947b674822e243ae0c1645ab409e1145d8bc0513 +size 78179408 diff --git a/checkpoint-1000/rng_state.pth b/checkpoint-1000/rng_state.pth new file mode 100644 index 0000000..1b5e6a4 --- /dev/null +++ b/checkpoint-1000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63ddbc91ef021fd4369090eb91c709d6afda7b32b5c88b5e124970fb2606c6ed +size 14645 diff --git a/checkpoint-1000/special_tokens_map.json b/checkpoint-1000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-1000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-1000/spiece.model b/checkpoint-1000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-1000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-1000/tokenizer_config.json b/checkpoint-1000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-1000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1000/trainer_state.json b/checkpoint-1000/trainer_state.json new file mode 100644 index 0000000..6f0847b --- /dev/null +++ b/checkpoint-1000/trainer_state.json @@ -0,0 +1,2056 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.8594757198109153, + "eval_steps": 500, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 408225012940800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-1000/training_args.bin b/checkpoint-1000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-1000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-10000/added_tokens.json b/checkpoint-10000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-10000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-10000/config.json b/checkpoint-10000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-10000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-10000/generation_config.json b/checkpoint-10000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-10000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-10000/model.safetensors b/checkpoint-10000/model.safetensors new file mode 100644 index 0000000..1da70ed --- /dev/null +++ b/checkpoint-10000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ee5e710c6597950db0a87eee2d4fb587365fb3bb663bc260da04301a956ec9e3 +size 78179408 diff --git a/checkpoint-10000/rng_state.pth b/checkpoint-10000/rng_state.pth new file mode 100644 index 0000000..b5b5147 --- /dev/null +++ b/checkpoint-10000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91c79d77edb42399fd12fb181da105564c50498cb0ad4f79a3d8f9e7fd7d8796 +size 14645 diff --git a/checkpoint-10000/special_tokens_map.json b/checkpoint-10000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-10000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-10000/spiece.model b/checkpoint-10000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-10000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-10000/tokenizer_config.json b/checkpoint-10000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-10000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-10000/trainer_state.json b/checkpoint-10000/trainer_state.json new file mode 100644 index 0000000..9e18aa9 --- /dev/null +++ b/checkpoint-10000/trainer_state.json @@ -0,0 +1,20254 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.59131929522991, + "eval_steps": 500, + "global_step": 10000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + }, + { + "entropy": 5.66387529373169, + "epoch": 7.306832831972497, + "grad_norm": 1.203125, + "learning_rate": 0.00013938223617599124, + "loss": 4.9421, + "mean_token_accuracy": 0.23342001885175706, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.74355845451355, + "epoch": 7.311130210571552, + "grad_norm": 1.4375, + "learning_rate": 0.00013911708523901514, + "loss": 4.9755, + "mean_token_accuracy": 0.23636211156845094, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.763104438781738, + "epoch": 7.315427589170606, + "grad_norm": 1.2734375, + "learning_rate": 0.00013885223101601303, + "loss": 4.8955, + "mean_token_accuracy": 0.23637697100639343, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.71501669883728, + "epoch": 7.319724967769661, + "grad_norm": 1.265625, + "learning_rate": 0.00013858767408532051, + "loss": 4.8816, + "mean_token_accuracy": 0.24099365025758743, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.723988056182861, + "epoch": 7.324022346368715, + "grad_norm": 1.375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8774, + "mean_token_accuracy": 0.23590993583202363, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.737170457839966, + "epoch": 7.32831972496777, + "grad_norm": 1.46875, + "learning_rate": 0.00013805945441096057, + "loss": 4.9277, + "mean_token_accuracy": 0.23668332844972612, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.7540687084197994, + "epoch": 7.332617103566824, + "grad_norm": 1.375, + "learning_rate": 0.00013779579282071364, + "loss": 4.9306, + "mean_token_accuracy": 0.2349459186196327, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.676801681518555, + "epoch": 7.336914482165879, + "grad_norm": 1.28125, + "learning_rate": 0.00013753243082961512, + "loss": 4.8768, + "mean_token_accuracy": 0.24011008739471434, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.68070273399353, + "epoch": 7.3412118607649335, + "grad_norm": 1.328125, + "learning_rate": 0.00013726936901274246, + "loss": 4.8393, + "mean_token_accuracy": 0.24872156083583832, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.800928020477295, + "epoch": 7.345509239363988, + "grad_norm": 1.21875, + "learning_rate": 0.0001370066079445174, + "loss": 4.9704, + "mean_token_accuracy": 0.23076788932085038, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.79030556678772, + "epoch": 7.349806617963043, + "grad_norm": 1.2421875, + "learning_rate": 0.00013674414819870502, + "loss": 5.0745, + "mean_token_accuracy": 0.22369800060987471, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.730133438110352, + "epoch": 7.354103996562097, + "grad_norm": 1.3984375, + "learning_rate": 0.00013648199034841264, + "loss": 4.92, + "mean_token_accuracy": 0.2387056604027748, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.69276180267334, + "epoch": 7.358401375161152, + "grad_norm": 1.34375, + "learning_rate": 0.0001362201349660882, + "loss": 4.8912, + "mean_token_accuracy": 0.24466140568256378, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.666532707214356, + "epoch": 7.362698753760206, + "grad_norm": 1.3203125, + "learning_rate": 0.0001359585826235192, + "loss": 4.8956, + "mean_token_accuracy": 0.24125270992517472, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.799620962142944, + "epoch": 7.366996132359261, + "grad_norm": 1.3984375, + "learning_rate": 0.00013569733389183126, + "loss": 4.9952, + "mean_token_accuracy": 0.22822352200746537, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.758121490478516, + "epoch": 7.371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.00013543638934148736, + "loss": 4.9296, + "mean_token_accuracy": 0.23435905277729036, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.814731168746948, + "epoch": 7.37559088955737, + "grad_norm": 1.359375, + "learning_rate": 0.000135175749542286, + "loss": 4.9821, + "mean_token_accuracy": 0.22124236524105073, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.67050518989563, + "epoch": 7.379888268156424, + "grad_norm": 1.21875, + "learning_rate": 0.0001349154150633604, + "loss": 4.8697, + "mean_token_accuracy": 0.2459047943353653, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.741513633728028, + "epoch": 7.384185646755479, + "grad_norm": 1.2578125, + "learning_rate": 0.000134655386473177, + "loss": 5.0171, + "mean_token_accuracy": 0.22208292037248611, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.637994432449341, + "epoch": 7.3884830253545335, + "grad_norm": 1.4375, + "learning_rate": 0.00013439566433953427, + "loss": 4.892, + "mean_token_accuracy": 0.2412777841091156, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.720129156112671, + "epoch": 7.392780403953588, + "grad_norm": 1.3359375, + "learning_rate": 0.0001341362492295616, + "loss": 4.89, + "mean_token_accuracy": 0.2424454867839813, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.777584362030029, + "epoch": 7.397077782552643, + "grad_norm": 1.46875, + "learning_rate": 0.00013387714170971776, + "loss": 4.9287, + "mean_token_accuracy": 0.22944550216197968, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.785937261581421, + "epoch": 7.401375161151697, + "grad_norm": 1.265625, + "learning_rate": 0.00013361834234579012, + "loss": 5.0178, + "mean_token_accuracy": 0.22616576850414277, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.6717626571655275, + "epoch": 7.405672539750752, + "grad_norm": 1.3671875, + "learning_rate": 0.0001333598517028931, + "loss": 4.9006, + "mean_token_accuracy": 0.23272989243268966, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.688118124008179, + "epoch": 7.409969918349806, + "grad_norm": 1.3125, + "learning_rate": 0.00013310167034546688, + "loss": 4.887, + "mean_token_accuracy": 0.2374843627214432, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.749850463867188, + "epoch": 7.414267296948861, + "grad_norm": 1.3984375, + "learning_rate": 0.0001328437988372763, + "loss": 4.9595, + "mean_token_accuracy": 0.22750054448843002, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.756968069076538, + "epoch": 7.418564675547916, + "grad_norm": 1.3125, + "learning_rate": 0.00013258623774140967, + "loss": 4.9342, + "mean_token_accuracy": 0.2360052227973938, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.706060266494751, + "epoch": 7.422862054146971, + "grad_norm": 1.375, + "learning_rate": 0.00013232898762027766, + "loss": 4.8852, + "mean_token_accuracy": 0.2418963521718979, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.772034740447998, + "epoch": 7.427159432746025, + "grad_norm": 1.2734375, + "learning_rate": 0.00013207204903561154, + "loss": 4.978, + "mean_token_accuracy": 0.23209577053785324, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.702054405212403, + "epoch": 7.43145681134508, + "grad_norm": 1.234375, + "learning_rate": 0.00013181542254846247, + "loss": 4.8473, + "mean_token_accuracy": 0.2422897547483444, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.75566291809082, + "epoch": 7.435754189944134, + "grad_norm": 1.390625, + "learning_rate": 0.0001315591087192002, + "loss": 4.9831, + "mean_token_accuracy": 0.2323268622159958, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.655916357040406, + "epoch": 7.440051568543189, + "grad_norm": 1.234375, + "learning_rate": 0.00013130310810751162, + "loss": 4.8862, + "mean_token_accuracy": 0.23978102058172227, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.784155988693238, + "epoch": 7.4443489471422435, + "grad_norm": 1.3671875, + "learning_rate": 0.00013104742127239983, + "loss": 5.016, + "mean_token_accuracy": 0.22613199800252914, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.7693627834320065, + "epoch": 7.448646325741298, + "grad_norm": 1.1484375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9986, + "mean_token_accuracy": 0.22481437474489213, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.737584114074707, + "epoch": 7.452943704340353, + "grad_norm": 1.375, + "learning_rate": 0.00013053699116449144, + "loss": 4.9084, + "mean_token_accuracy": 0.22960878312587737, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.89331545829773, + "epoch": 7.457241082939407, + "grad_norm": 1.203125, + "learning_rate": 0.00013028224900627026, + "loss": 5.0301, + "mean_token_accuracy": 0.21912138164043427, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.803331756591797, + "epoch": 7.461538461538462, + "grad_norm": 1.0625, + "learning_rate": 0.00013002782285377395, + "loss": 4.9622, + "mean_token_accuracy": 0.2376553386449814, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.750441551208496, + "epoch": 7.465835840137516, + "grad_norm": 1.4375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9946, + "mean_token_accuracy": 0.2235792651772499, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.789198493957519, + "epoch": 7.470133218736571, + "grad_norm": 1.5, + "learning_rate": 0.00012951992078752528, + "loss": 4.9474, + "mean_token_accuracy": 0.2321646735072136, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.744178915023804, + "epoch": 7.474430597335625, + "grad_norm": 1.1953125, + "learning_rate": 0.00012926644598282798, + "loss": 4.9459, + "mean_token_accuracy": 0.22402314394712447, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.74596061706543, + "epoch": 7.47872797593468, + "grad_norm": 1.234375, + "learning_rate": 0.0001290132894019634, + "loss": 4.9661, + "mean_token_accuracy": 0.23607563078403473, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.778988885879516, + "epoch": 7.483025354533734, + "grad_norm": 1.28125, + "learning_rate": 0.00012876045159772442, + "loss": 4.9489, + "mean_token_accuracy": 0.23937921822071076, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.773708295822144, + "epoch": 7.487322733132789, + "grad_norm": 1.3359375, + "learning_rate": 0.00012850793312220766, + "loss": 4.9283, + "mean_token_accuracy": 0.23426500260829924, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.674078750610351, + "epoch": 7.4916201117318435, + "grad_norm": 1.25, + "learning_rate": 0.00012825573452681266, + "loss": 4.8773, + "mean_token_accuracy": 0.24968714416027069, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.735969209671021, + "epoch": 7.495917490330898, + "grad_norm": 1.375, + "learning_rate": 0.00012800385636224017, + "loss": 4.9358, + "mean_token_accuracy": 0.23501814007759095, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.747404956817627, + "epoch": 7.500214868929953, + "grad_norm": 1.40625, + "learning_rate": 0.00012775229917849162, + "loss": 4.9054, + "mean_token_accuracy": 0.23629093021154404, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.761697673797608, + "epoch": 7.504512247529007, + "grad_norm": 1.234375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8979, + "mean_token_accuracy": 0.2428216427564621, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.700611209869384, + "epoch": 7.508809626128062, + "grad_norm": 1.171875, + "learning_rate": 0.00012725014994996534, + "loss": 4.9339, + "mean_token_accuracy": 0.24504542350769043, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.807457494735718, + "epoch": 7.513107004727116, + "grad_norm": 1.25, + "learning_rate": 0.00012699955900168075, + "loss": 4.9282, + "mean_token_accuracy": 0.229953795671463, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.729871797561645, + "epoch": 7.517404383326171, + "grad_norm": 1.3046875, + "learning_rate": 0.00012674929122720414, + "loss": 4.9777, + "mean_token_accuracy": 0.2232517972588539, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.635332775115967, + "epoch": 7.521701761925225, + "grad_norm": 1.2265625, + "learning_rate": 0.0001264993471730202, + "loss": 4.8575, + "mean_token_accuracy": 0.24274646639823913, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.737993383407593, + "epoch": 7.52599914052428, + "grad_norm": 1.3046875, + "learning_rate": 0.00012624972738490675, + "loss": 5.0013, + "mean_token_accuracy": 0.22250534743070602, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.810367679595947, + "epoch": 7.530296519123334, + "grad_norm": 1.21875, + "learning_rate": 0.00012600043240793368, + "loss": 4.9765, + "mean_token_accuracy": 0.2321833461523056, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.74908938407898, + "epoch": 7.534593897722389, + "grad_norm": 1.3671875, + "learning_rate": 0.00012575146278646175, + "loss": 4.8922, + "mean_token_accuracy": 0.23532313406467437, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.7044130802154545, + "epoch": 7.5388912763214435, + "grad_norm": 1.21875, + "learning_rate": 0.00012550281906414097, + "loss": 4.9005, + "mean_token_accuracy": 0.23530834317207336, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.754625558853149, + "epoch": 7.543188654920499, + "grad_norm": 1.234375, + "learning_rate": 0.00012525450178390972, + "loss": 4.9416, + "mean_token_accuracy": 0.2437831625342369, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.779452610015869, + "epoch": 7.547486033519553, + "grad_norm": 1.3046875, + "learning_rate": 0.0001250065114879939, + "loss": 4.9461, + "mean_token_accuracy": 0.23520458936691285, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.705014038085937, + "epoch": 7.551783412118608, + "grad_norm": 1.2890625, + "learning_rate": 0.00012475884871790505, + "loss": 4.8667, + "mean_token_accuracy": 0.2412562444806099, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.8083795547485355, + "epoch": 7.556080790717663, + "grad_norm": 1.296875, + "learning_rate": 0.00012451151401443982, + "loss": 5.0036, + "mean_token_accuracy": 0.22445941120386123, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.658902978897094, + "epoch": 7.560378169316717, + "grad_norm": 1.3046875, + "learning_rate": 0.00012426450791767815, + "loss": 4.8297, + "mean_token_accuracy": 0.24630579203367234, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.727620363235474, + "epoch": 7.564675547915772, + "grad_norm": 1.34375, + "learning_rate": 0.00012401783096698283, + "loss": 4.7861, + "mean_token_accuracy": 0.24524826556444168, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.739884567260742, + "epoch": 7.568972926514826, + "grad_norm": 1.203125, + "learning_rate": 0.00012377148370099764, + "loss": 4.9565, + "mean_token_accuracy": 0.22828071862459182, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.752638149261474, + "epoch": 7.573270305113881, + "grad_norm": 1.3046875, + "learning_rate": 0.00012352546665764642, + "loss": 4.9625, + "mean_token_accuracy": 0.22861632257699965, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.631821250915527, + "epoch": 7.577567683712935, + "grad_norm": 1.25, + "learning_rate": 0.00012327978037413219, + "loss": 4.8393, + "mean_token_accuracy": 0.2455634668469429, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.749710655212402, + "epoch": 7.58186506231199, + "grad_norm": 1.3828125, + "learning_rate": 0.00012303442538693564, + "loss": 4.9425, + "mean_token_accuracy": 0.23156363964080812, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.689564323425293, + "epoch": 7.586162440911044, + "grad_norm": 1.390625, + "learning_rate": 0.00012278940223181393, + "loss": 4.8338, + "mean_token_accuracy": 0.23270008265972136, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.725271081924438, + "epoch": 7.590459819510099, + "grad_norm": 1.25, + "learning_rate": 0.00012254471144379964, + "loss": 4.8128, + "mean_token_accuracy": 0.25256053656339644, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.727273273468017, + "epoch": 7.5947571981091535, + "grad_norm": 1.21875, + "learning_rate": 0.00012230035355719968, + "loss": 4.9651, + "mean_token_accuracy": 0.23480646908283234, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.772902631759644, + "epoch": 7.599054576708208, + "grad_norm": 1.2421875, + "learning_rate": 0.0001220563291055941, + "loss": 4.9437, + "mean_token_accuracy": 0.23261293321847915, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.765447664260864, + "epoch": 7.603351955307263, + "grad_norm": 1.3125, + "learning_rate": 0.0001218126386218347, + "loss": 4.9353, + "mean_token_accuracy": 0.23733194619417192, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.6730225563049315, + "epoch": 7.607649333906317, + "grad_norm": 1.3671875, + "learning_rate": 0.00012156928263804403, + "loss": 4.8637, + "mean_token_accuracy": 0.24171005487442015, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.743314933776856, + "epoch": 7.611946712505372, + "grad_norm": 1.421875, + "learning_rate": 0.0001213262616856144, + "loss": 5.0012, + "mean_token_accuracy": 0.2306993141770363, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.747490549087525, + "epoch": 7.616244091104426, + "grad_norm": 1.4453125, + "learning_rate": 0.00012108357629520635, + "loss": 4.9057, + "mean_token_accuracy": 0.2387942299246788, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.7210612297058105, + "epoch": 7.620541469703481, + "grad_norm": 1.34375, + "learning_rate": 0.00012084122699674785, + "loss": 4.8936, + "mean_token_accuracy": 0.23947659581899644, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.73658299446106, + "epoch": 7.624838848302535, + "grad_norm": 1.375, + "learning_rate": 0.00012059921431943278, + "loss": 4.943, + "mean_token_accuracy": 0.22805553525686265, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.778007841110229, + "epoch": 7.62913622690159, + "grad_norm": 1.4453125, + "learning_rate": 0.00012035753879172026, + "loss": 5.1314, + "mean_token_accuracy": 0.21736743450164794, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.67980465888977, + "epoch": 7.633433605500644, + "grad_norm": 1.375, + "learning_rate": 0.00012011620094133296, + "loss": 4.7809, + "mean_token_accuracy": 0.25052584558725355, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.683636951446533, + "epoch": 7.637730984099699, + "grad_norm": 1.2421875, + "learning_rate": 0.00011987520129525622, + "loss": 4.923, + "mean_token_accuracy": 0.2359049841761589, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.739316749572754, + "epoch": 7.6420283626987535, + "grad_norm": 1.46875, + "learning_rate": 0.000119634540379737, + "loss": 4.9459, + "mean_token_accuracy": 0.23375426828861237, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.769543027877807, + "epoch": 7.646325741297808, + "grad_norm": 1.3359375, + "learning_rate": 0.00011939421872028262, + "loss": 4.9518, + "mean_token_accuracy": 0.2293008342385292, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.688256788253784, + "epoch": 7.650623119896863, + "grad_norm": 1.296875, + "learning_rate": 0.00011915423684165948, + "loss": 4.8695, + "mean_token_accuracy": 0.2363400101661682, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.784082841873169, + "epoch": 7.654920498495917, + "grad_norm": 1.21875, + "learning_rate": 0.00011891459526789198, + "loss": 4.9513, + "mean_token_accuracy": 0.23087790459394456, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.750850200653076, + "epoch": 7.659217877094972, + "grad_norm": 1.2578125, + "learning_rate": 0.0001186752945222616, + "loss": 4.9408, + "mean_token_accuracy": 0.230193392932415, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.741831827163696, + "epoch": 7.663515255694026, + "grad_norm": 1.171875, + "learning_rate": 0.00011843633512730562, + "loss": 4.891, + "mean_token_accuracy": 0.23511849343776703, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.710381603240966, + "epoch": 7.667812634293082, + "grad_norm": 1.28125, + "learning_rate": 0.00011819771760481576, + "loss": 4.9056, + "mean_token_accuracy": 0.24004074782133103, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.659539985656738, + "epoch": 7.672110012892135, + "grad_norm": 1.3203125, + "learning_rate": 0.00011795944247583725, + "loss": 4.827, + "mean_token_accuracy": 0.2396245777606964, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.710673809051514, + "epoch": 7.676407391491191, + "grad_norm": 1.2265625, + "learning_rate": 0.00011772151026066789, + "loss": 4.8812, + "mean_token_accuracy": 0.23135425001382828, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.770887327194214, + "epoch": 7.680704770090245, + "grad_norm": 1.2421875, + "learning_rate": 0.00011748392147885642, + "loss": 5.0019, + "mean_token_accuracy": 0.22777645140886307, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.739024114608765, + "epoch": 7.6850021486893, + "grad_norm": 1.5390625, + "learning_rate": 0.00011724667664920177, + "loss": 4.9316, + "mean_token_accuracy": 0.23300305306911467, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.772635078430175, + "epoch": 7.689299527288354, + "grad_norm": 1.375, + "learning_rate": 0.00011700977628975183, + "loss": 5.0259, + "mean_token_accuracy": 0.22466233223676682, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.75628547668457, + "epoch": 7.693596905887409, + "grad_norm": 1.359375, + "learning_rate": 0.00011677322091780243, + "loss": 4.9441, + "mean_token_accuracy": 0.230313977599144, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.782389211654663, + "epoch": 7.6978942844864635, + "grad_norm": 1.3125, + "learning_rate": 0.0001165370110498958, + "loss": 4.9823, + "mean_token_accuracy": 0.22912768721580506, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.8072168827056885, + "epoch": 7.702191663085518, + "grad_norm": 1.3125, + "learning_rate": 0.00011630114720181989, + "loss": 4.9706, + "mean_token_accuracy": 0.2286185145378113, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.725326013565064, + "epoch": 7.706489041684573, + "grad_norm": 1.3046875, + "learning_rate": 0.00011606562988860711, + "loss": 4.9052, + "mean_token_accuracy": 0.23271812498569489, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.704691696166992, + "epoch": 7.710786420283627, + "grad_norm": 1.1796875, + "learning_rate": 0.0001158304596245332, + "loss": 4.8801, + "mean_token_accuracy": 0.23317846804857253, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.673254013061523, + "epoch": 7.715083798882682, + "grad_norm": 1.265625, + "learning_rate": 0.00011559563692311595, + "loss": 4.8871, + "mean_token_accuracy": 0.2425983503460884, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.715083312988281, + "epoch": 7.719381177481736, + "grad_norm": 1.25, + "learning_rate": 0.00011536116229711422, + "loss": 4.87, + "mean_token_accuracy": 0.23960913121700286, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.771728086471557, + "epoch": 7.723678556080791, + "grad_norm": 1.2734375, + "learning_rate": 0.000115127036258527, + "loss": 4.9468, + "mean_token_accuracy": 0.22923657298088074, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.707568883895874, + "epoch": 7.727975934679845, + "grad_norm": 1.375, + "learning_rate": 0.00011489325931859185, + "loss": 4.8257, + "mean_token_accuracy": 0.2456026166677475, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.703813886642456, + "epoch": 7.7322733132789, + "grad_norm": 1.2578125, + "learning_rate": 0.0001146598319877843, + "loss": 4.884, + "mean_token_accuracy": 0.2391938716173172, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.542284931685473, + "eval_loss": 5.893875598907471, + "eval_mean_token_accuracy": 0.18242550859445925, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0469, + "eval_samples_per_second": 1733.83, + "eval_steps_per_second": 216.912, + "step": 9000 + }, + { + "entropy": 5.730257511138916, + "epoch": 7.736570691877954, + "grad_norm": 1.40625, + "learning_rate": 0.00011442675477581621, + "loss": 4.946, + "mean_token_accuracy": 0.23982110470533372, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.769806432723999, + "epoch": 7.740868070477009, + "grad_norm": 1.2890625, + "learning_rate": 0.0001141940281916352, + "loss": 4.8663, + "mean_token_accuracy": 0.23052393943071364, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.7794060707092285, + "epoch": 7.7451654490760635, + "grad_norm": 1.2578125, + "learning_rate": 0.00011396165274342304, + "loss": 4.9934, + "mean_token_accuracy": 0.2219093069434166, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.702830696105957, + "epoch": 7.749462827675118, + "grad_norm": 1.2421875, + "learning_rate": 0.00011372962893859471, + "loss": 4.9375, + "mean_token_accuracy": 0.22916385978460313, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.685720300674438, + "epoch": 7.753760206274173, + "grad_norm": 1.28125, + "learning_rate": 0.00011349795728379759, + "loss": 4.9439, + "mean_token_accuracy": 0.2307956948876381, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.757158088684082, + "epoch": 7.758057584873227, + "grad_norm": 1.3046875, + "learning_rate": 0.00011326663828491, + "loss": 5.0021, + "mean_token_accuracy": 0.22755355685949324, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.731455373764038, + "epoch": 7.762354963472282, + "grad_norm": 1.4140625, + "learning_rate": 0.00011303567244704015, + "loss": 4.9722, + "mean_token_accuracy": 0.23510894626379014, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.787262058258056, + "epoch": 7.766652342071336, + "grad_norm": 1.296875, + "learning_rate": 0.00011280506027452502, + "loss": 5.0529, + "mean_token_accuracy": 0.21928364634513856, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.7590248584747314, + "epoch": 7.770949720670391, + "grad_norm": 1.3828125, + "learning_rate": 0.0001125748022709295, + "loss": 4.9702, + "mean_token_accuracy": 0.23275834918022156, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.787170457839966, + "epoch": 7.775247099269445, + "grad_norm": 1.2421875, + "learning_rate": 0.00011234489893904509, + "loss": 4.9795, + "mean_token_accuracy": 0.2291556641459465, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.732330751419068, + "epoch": 7.7795444778685, + "grad_norm": 1.3125, + "learning_rate": 0.00011211535078088869, + "loss": 4.8429, + "mean_token_accuracy": 0.24395294189453126, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.7382737159729, + "epoch": 7.783841856467554, + "grad_norm": 1.375, + "learning_rate": 0.00011188615829770171, + "loss": 4.9092, + "mean_token_accuracy": 0.23593527376651763, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.710181808471679, + "epoch": 7.788139235066609, + "grad_norm": 1.375, + "learning_rate": 0.00011165732198994905, + "loss": 4.9434, + "mean_token_accuracy": 0.23322095423936845, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.713530969619751, + "epoch": 7.792436613665664, + "grad_norm": 1.375, + "learning_rate": 0.00011142884235731756, + "loss": 4.9257, + "mean_token_accuracy": 0.23757666498422622, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.7721363544464115, + "epoch": 7.796733992264718, + "grad_norm": 1.5390625, + "learning_rate": 0.00011120071989871564, + "loss": 5.0154, + "mean_token_accuracy": 0.2297023668885231, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.661825942993164, + "epoch": 7.8010313708637735, + "grad_norm": 1.2109375, + "learning_rate": 0.00011097295511227134, + "loss": 4.8963, + "mean_token_accuracy": 0.2394334778189659, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.722220945358276, + "epoch": 7.805328749462827, + "grad_norm": 1.296875, + "learning_rate": 0.0001107455484953321, + "loss": 4.9024, + "mean_token_accuracy": 0.23700267672538758, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6848217964172365, + "epoch": 7.809626128061883, + "grad_norm": 1.34375, + "learning_rate": 0.00011051850054446306, + "loss": 4.9151, + "mean_token_accuracy": 0.23075505644083022, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.663630819320678, + "epoch": 7.813923506660937, + "grad_norm": 1.4375, + "learning_rate": 0.00011029181175544603, + "loss": 4.8506, + "mean_token_accuracy": 0.2431934058666229, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.792266893386841, + "epoch": 7.818220885259992, + "grad_norm": 1.4140625, + "learning_rate": 0.00011006548262327884, + "loss": 5.0166, + "mean_token_accuracy": 0.23040284514427184, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.806525135040284, + "epoch": 7.822518263859046, + "grad_norm": 1.2890625, + "learning_rate": 0.0001098395136421739, + "loss": 4.9812, + "mean_token_accuracy": 0.22473449409008026, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.760424566268921, + "epoch": 7.826815642458101, + "grad_norm": 1.1875, + "learning_rate": 0.00010961390530555712, + "loss": 4.9704, + "mean_token_accuracy": 0.22575420886278152, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.756677484512329, + "epoch": 7.831113021057155, + "grad_norm": 1.265625, + "learning_rate": 0.00010938865810606682, + "loss": 4.9295, + "mean_token_accuracy": 0.23352717459201813, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.738250303268432, + "epoch": 7.83541039965621, + "grad_norm": 1.1875, + "learning_rate": 0.00010916377253555293, + "loss": 4.9336, + "mean_token_accuracy": 0.22934698015451432, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.708257818222046, + "epoch": 7.839707778255264, + "grad_norm": 1.328125, + "learning_rate": 0.00010893924908507573, + "loss": 4.8916, + "mean_token_accuracy": 0.2412150412797928, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7717221736907955, + "epoch": 7.844005156854319, + "grad_norm": 1.390625, + "learning_rate": 0.0001087150882449046, + "loss": 4.9687, + "mean_token_accuracy": 0.23071876615285875, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.744738292694092, + "epoch": 7.8483025354533735, + "grad_norm": 1.265625, + "learning_rate": 0.00010849129050451717, + "loss": 4.9183, + "mean_token_accuracy": 0.23448994606733323, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.703471088409424, + "epoch": 7.852599914052428, + "grad_norm": 1.234375, + "learning_rate": 0.00010826785635259842, + "loss": 4.8756, + "mean_token_accuracy": 0.23654707819223403, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.713053512573242, + "epoch": 7.856897292651483, + "grad_norm": 1.4765625, + "learning_rate": 0.00010804478627703903, + "loss": 4.8403, + "mean_token_accuracy": 0.2534535199403763, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.770458030700683, + "epoch": 7.861194671250537, + "grad_norm": 1.6015625, + "learning_rate": 0.00010782208076493508, + "loss": 4.9587, + "mean_token_accuracy": 0.23223767578601837, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.747208118438721, + "epoch": 7.865492049849592, + "grad_norm": 1.3359375, + "learning_rate": 0.00010759974030258621, + "loss": 4.9428, + "mean_token_accuracy": 0.2311663582921028, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.7243444442749025, + "epoch": 7.869789428448646, + "grad_norm": 1.1796875, + "learning_rate": 0.00010737776537549531, + "loss": 4.9326, + "mean_token_accuracy": 0.24079572409391403, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.710455989837646, + "epoch": 7.874086807047701, + "grad_norm": 1.3515625, + "learning_rate": 0.00010715615646836679, + "loss": 4.8984, + "mean_token_accuracy": 0.23725621849298478, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.641438770294189, + "epoch": 7.878384185646755, + "grad_norm": 1.21875, + "learning_rate": 0.00010693491406510585, + "loss": 4.8848, + "mean_token_accuracy": 0.2445200726389885, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.747666835784912, + "epoch": 7.88268156424581, + "grad_norm": 1.328125, + "learning_rate": 0.00010671403864881757, + "loss": 4.9711, + "mean_token_accuracy": 0.2317958801984787, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.759106779098511, + "epoch": 7.8869789428448644, + "grad_norm": 1.2421875, + "learning_rate": 0.00010649353070180562, + "loss": 4.9623, + "mean_token_accuracy": 0.2380196452140808, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.734574794769287, + "epoch": 7.891276321443919, + "grad_norm": 1.296875, + "learning_rate": 0.00010627339070557118, + "loss": 4.9401, + "mean_token_accuracy": 0.24096089154481887, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.685746860504151, + "epoch": 7.8955737000429735, + "grad_norm": 1.2734375, + "learning_rate": 0.00010605361914081194, + "loss": 4.854, + "mean_token_accuracy": 0.24479493349790574, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.758388519287109, + "epoch": 7.899871078642028, + "grad_norm": 1.1640625, + "learning_rate": 0.00010583421648742125, + "loss": 4.8878, + "mean_token_accuracy": 0.24218843132257462, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.73368878364563, + "epoch": 7.904168457241083, + "grad_norm": 1.34375, + "learning_rate": 0.00010561518322448673, + "loss": 4.993, + "mean_token_accuracy": 0.22797715663909912, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.702595281600952, + "epoch": 7.908465835840137, + "grad_norm": 1.4140625, + "learning_rate": 0.00010539651983028955, + "loss": 4.868, + "mean_token_accuracy": 0.2413019374012947, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.685127592086792, + "epoch": 7.912763214439192, + "grad_norm": 1.3671875, + "learning_rate": 0.0001051782267823031, + "loss": 4.8558, + "mean_token_accuracy": 0.24108621031045913, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.721054267883301, + "epoch": 7.917060593038247, + "grad_norm": 1.3515625, + "learning_rate": 0.00010496030455719225, + "loss": 4.9251, + "mean_token_accuracy": 0.23336865305900573, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.724647521972656, + "epoch": 7.921357971637301, + "grad_norm": 1.34375, + "learning_rate": 0.00010474275363081193, + "loss": 4.9328, + "mean_token_accuracy": 0.23269153237342835, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.702741193771362, + "epoch": 7.925655350236356, + "grad_norm": 1.375, + "learning_rate": 0.0001045255744782064, + "loss": 4.9025, + "mean_token_accuracy": 0.24020729959011078, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.816455984115601, + "epoch": 7.92995272883541, + "grad_norm": 1.28125, + "learning_rate": 0.00010430876757360817, + "loss": 4.9837, + "mean_token_accuracy": 0.22814977616071702, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.668118476867676, + "epoch": 7.934250107434465, + "grad_norm": 1.359375, + "learning_rate": 0.00010409233339043694, + "loss": 4.8047, + "mean_token_accuracy": 0.24403645545244218, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.670865440368653, + "epoch": 7.93854748603352, + "grad_norm": 1.3359375, + "learning_rate": 0.00010387627240129838, + "loss": 4.8691, + "mean_token_accuracy": 0.23790572285652162, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.739948797225952, + "epoch": 7.942844864632574, + "grad_norm": 1.1953125, + "learning_rate": 0.00010366058507798326, + "loss": 4.9214, + "mean_token_accuracy": 0.2339615508913994, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.705602979660034, + "epoch": 7.947142243231629, + "grad_norm": 1.296875, + "learning_rate": 0.00010344527189146655, + "loss": 4.9528, + "mean_token_accuracy": 0.2274705156683922, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.739188241958618, + "epoch": 7.9514396218306835, + "grad_norm": 1.1875, + "learning_rate": 0.00010323033331190626, + "loss": 4.9274, + "mean_token_accuracy": 0.23373161852359772, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.76418023109436, + "epoch": 7.955737000429738, + "grad_norm": 1.3125, + "learning_rate": 0.00010301576980864228, + "loss": 4.8603, + "mean_token_accuracy": 0.2446628138422966, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.694305419921875, + "epoch": 7.960034379028793, + "grad_norm": 1.3671875, + "learning_rate": 0.00010280158185019547, + "loss": 4.9073, + "mean_token_accuracy": 0.24446062594652176, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.697159719467163, + "epoch": 7.964331757627847, + "grad_norm": 1.15625, + "learning_rate": 0.00010258776990426686, + "loss": 4.927, + "mean_token_accuracy": 0.24162409752607344, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.729753589630127, + "epoch": 7.968629136226902, + "grad_norm": 1.4375, + "learning_rate": 0.00010237433443773612, + "loss": 4.9118, + "mean_token_accuracy": 0.23850051164627076, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.655977869033814, + "epoch": 7.972926514825956, + "grad_norm": 1.203125, + "learning_rate": 0.00010216127591666115, + "loss": 4.9269, + "mean_token_accuracy": 0.24168841391801835, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.739932727813721, + "epoch": 7.977223893425011, + "grad_norm": 1.5234375, + "learning_rate": 0.00010194859480627648, + "loss": 4.9567, + "mean_token_accuracy": 0.2386748567223549, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.675134468078613, + "epoch": 7.981521272024065, + "grad_norm": 1.203125, + "learning_rate": 0.00010173629157099279, + "loss": 4.9575, + "mean_token_accuracy": 0.2281126633286476, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.714840936660766, + "epoch": 7.98581865062312, + "grad_norm": 1.15625, + "learning_rate": 0.00010152436667439537, + "loss": 4.9519, + "mean_token_accuracy": 0.23581907600164415, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.750794839859009, + "epoch": 7.9901160292221745, + "grad_norm": 1.3125, + "learning_rate": 0.00010131282057924345, + "loss": 4.888, + "mean_token_accuracy": 0.23815936595201492, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.780832004547119, + "epoch": 7.994413407821229, + "grad_norm": 1.25, + "learning_rate": 0.00010110165374746924, + "loss": 4.8951, + "mean_token_accuracy": 0.24371608346700668, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.744164609909058, + "epoch": 7.9987107864202835, + "grad_norm": 1.28125, + "learning_rate": 0.00010089086664017674, + "loss": 5.0412, + "mean_token_accuracy": 0.22926397770643234, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.742586241828071, + "epoch": 8.002578427159433, + "grad_norm": 1.296875, + "learning_rate": 0.00010068045971764067, + "loss": 4.8669, + "mean_token_accuracy": 0.240800850921207, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.752298831939697, + "epoch": 8.006875805758487, + "grad_norm": 1.3203125, + "learning_rate": 0.00010047043343930561, + "loss": 4.9556, + "mean_token_accuracy": 0.239510677754879, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.703397274017334, + "epoch": 8.011173184357542, + "grad_norm": 1.359375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7841, + "mean_token_accuracy": 0.2428373247385025, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.756609344482422, + "epoch": 8.015470562956596, + "grad_norm": 1.265625, + "learning_rate": 0.00010005152464886031, + "loss": 4.8276, + "mean_token_accuracy": 0.23863828033208848, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.721332359313965, + "epoch": 8.019767941555651, + "grad_norm": 1.21875, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2455083206295967, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.687017393112183, + "epoch": 8.024065320154705, + "grad_norm": 1.21875, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.2540111944079399, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.612176132202149, + "epoch": 8.02836269875376, + "grad_norm": 1.234375, + "learning_rate": 9.942602773296971e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.2532846137881279, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.7741395950317385, + "epoch": 8.032660077352816, + "grad_norm": 1.2578125, + "learning_rate": 9.921829492156223e-05, + "loss": 4.9684, + "mean_token_accuracy": 0.23141839802265168, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.75913782119751, + "epoch": 8.03695745595187, + "grad_norm": 1.5, + "learning_rate": 9.901094594713933e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23183894604444505, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.784180068969727, + "epoch": 8.041254834550925, + "grad_norm": 1.28125, + "learning_rate": 9.88039812624682e-05, + "loss": 4.9053, + "mean_token_accuracy": 0.23992706537246705, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.799221658706665, + "epoch": 8.045552213149978, + "grad_norm": 1.1328125, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2353417918086052, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.754740142822266, + "epoch": 8.049849591749034, + "grad_norm": 1.265625, + "learning_rate": 9.839120656925407e-05, + "loss": 4.9271, + "mean_token_accuracy": 0.2309979572892189, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.699716949462891, + "epoch": 8.054146970348087, + "grad_norm": 1.3046875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8744, + "mean_token_accuracy": 0.23718750476837158, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.7823670387268065, + "epoch": 8.058444348947143, + "grad_norm": 1.5, + "learning_rate": 9.797997444725745e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24111505299806596, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.69295825958252, + "epoch": 8.062741727546197, + "grad_norm": 1.28125, + "learning_rate": 9.77749379734506e-05, + "loss": 4.8774, + "mean_token_accuracy": 0.24546006321907043, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.734280729293824, + "epoch": 8.067039106145252, + "grad_norm": 1.3359375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23956651538610457, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.702370309829712, + "epoch": 8.071336484744306, + "grad_norm": 1.2734375, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.23692873120307922, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.742789077758789, + "epoch": 8.075633863343361, + "grad_norm": 1.265625, + "learning_rate": 9.716215227086997e-05, + "loss": 4.832, + "mean_token_accuracy": 0.24452268034219743, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.737786293029785, + "epoch": 8.079931241942415, + "grad_norm": 1.2421875, + "learning_rate": 9.695866642971098e-05, + "loss": 4.8761, + "mean_token_accuracy": 0.23521246314048766, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.735822296142578, + "epoch": 8.08422862054147, + "grad_norm": 1.3046875, + "learning_rate": 9.67555693596621e-05, + "loss": 4.922, + "mean_token_accuracy": 0.23624190241098403, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.697363328933716, + "epoch": 8.088525999140524, + "grad_norm": 1.2890625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24786596596240998, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.631302261352539, + "epoch": 8.09282337773958, + "grad_norm": 1.234375, + "learning_rate": 9.635054330597565e-05, + "loss": 4.7635, + "mean_token_accuracy": 0.2543473169207573, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.75023717880249, + "epoch": 8.097120756338633, + "grad_norm": 1.3515625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.24282941818237305, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.703547573089599, + "epoch": 8.101418134937688, + "grad_norm": 1.3359375, + "learning_rate": 9.594707764746881e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24557766914367676, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.64467306137085, + "epoch": 8.105715513536742, + "grad_norm": 1.2265625, + "learning_rate": 9.57459310682e-05, + "loss": 4.8587, + "mean_token_accuracy": 0.23592619597911835, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.759531688690186, + "epoch": 8.110012892135797, + "grad_norm": 1.2265625, + "learning_rate": 9.554517590817055e-05, + "loss": 4.9168, + "mean_token_accuracy": 0.22910912930965424, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.783081340789795, + "epoch": 8.114310270734851, + "grad_norm": 1.1953125, + "learning_rate": 9.534481260574944e-05, + "loss": 4.9094, + "mean_token_accuracy": 0.2321816936135292, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.742900657653808, + "epoch": 8.118607649333907, + "grad_norm": 1.25, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8874, + "mean_token_accuracy": 0.2349926143884659, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.771203088760376, + "epoch": 8.12290502793296, + "grad_norm": 1.3359375, + "learning_rate": 9.494526332292899e-05, + "loss": 4.9252, + "mean_token_accuracy": 0.23223545551300048, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.734961462020874, + "epoch": 8.127202406532016, + "grad_norm": 1.265625, + "learning_rate": 9.47460782149857e-05, + "loss": 4.9111, + "mean_token_accuracy": 0.2386125445365906, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.759470748901367, + "epoch": 8.13149978513107, + "grad_norm": 1.234375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.22731278389692305, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.70623517036438, + "epoch": 8.135797163730125, + "grad_norm": 1.2890625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24042012691497802, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.785218620300293, + "epoch": 8.140094542329178, + "grad_norm": 1.2421875, + "learning_rate": 9.415088624172997e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.23537793904542922, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.756191349029541, + "epoch": 8.144391920928234, + "grad_norm": 1.296875, + "learning_rate": 9.395327814490439e-05, + "loss": 4.931, + "mean_token_accuracy": 0.23400909453630447, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.731492424011231, + "epoch": 8.148689299527287, + "grad_norm": 1.3515625, + "learning_rate": 9.375606538175566e-05, + "loss": 4.8581, + "mean_token_accuracy": 0.24122172892093657, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.7561249256134035, + "epoch": 8.152986678126343, + "grad_norm": 1.2265625, + "learning_rate": 9.35592483829175e-05, + "loss": 4.9404, + "mean_token_accuracy": 0.23250404745340347, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.7169372081756595, + "epoch": 8.157284056725398, + "grad_norm": 1.3046875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.9114, + "mean_token_accuracy": 0.23848976343870162, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.70046215057373, + "epoch": 8.161581435324452, + "grad_norm": 1.3125, + "learning_rate": 9.316680339638664e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23490447849035262, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.563689900948121, + "eval_loss": 5.894437789916992, + "eval_mean_token_accuracy": 0.18221602075406024, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.101, + "eval_steps_per_second": 216.32, + "step": 9500 + }, + { + "entropy": 5.79104528427124, + "epoch": 8.165878813923507, + "grad_norm": 1.4140625, + "learning_rate": 9.297117626563687e-05, + "loss": 4.9393, + "mean_token_accuracy": 0.2395332857966423, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.732816505432129, + "epoch": 8.170176192522561, + "grad_norm": 1.2890625, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8743, + "mean_token_accuracy": 0.24095906615257262, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.6882086277008055, + "epoch": 8.174473571121617, + "grad_norm": 1.1796875, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.25059460252523424, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.7441253662109375, + "epoch": 8.17877094972067, + "grad_norm": 1.2421875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.8633, + "mean_token_accuracy": 0.23739856630563735, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.712777185440063, + "epoch": 8.183068328319726, + "grad_norm": 1.21875, + "learning_rate": 9.219264678327527e-05, + "loss": 4.8583, + "mean_token_accuracy": 0.24061242938041688, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.691803932189941, + "epoch": 8.18736570691878, + "grad_norm": 1.2890625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.8485, + "mean_token_accuracy": 0.24647330194711686, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.782800197601318, + "epoch": 8.191663085517835, + "grad_norm": 1.21875, + "learning_rate": 9.180577541342164e-05, + "loss": 4.964, + "mean_token_accuracy": 0.23249762654304504, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.714890718460083, + "epoch": 8.195960464116888, + "grad_norm": 1.328125, + "learning_rate": 9.161293955196648e-05, + "loss": 4.8682, + "mean_token_accuracy": 0.24433981478214264, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.783798694610596, + "epoch": 8.200257842715944, + "grad_norm": 1.328125, + "learning_rate": 9.142050413455214e-05, + "loss": 4.9286, + "mean_token_accuracy": 0.23019878268241883, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.750073575973511, + "epoch": 8.204555221314997, + "grad_norm": 1.2109375, + "learning_rate": 9.12284695813807e-05, + "loss": 4.9038, + "mean_token_accuracy": 0.24520579278469085, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.727174139022827, + "epoch": 8.208852599914053, + "grad_norm": 1.3359375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.8673, + "mean_token_accuracy": 0.24208441823720933, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.729988098144531, + "epoch": 8.213149978513107, + "grad_norm": 1.53125, + "learning_rate": 9.084560474419701e-05, + "loss": 4.8634, + "mean_token_accuracy": 0.2391197621822357, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.759287405014038, + "epoch": 8.217447357112162, + "grad_norm": 1.3671875, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8879, + "mean_token_accuracy": 0.23471090346574783, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.7283953666687015, + "epoch": 8.221744735711216, + "grad_norm": 1.3828125, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8983, + "mean_token_accuracy": 0.23679854422807695, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.797110462188721, + "epoch": 8.226042114310271, + "grad_norm": 1.375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9725, + "mean_token_accuracy": 0.22504952549934387, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.758984994888306, + "epoch": 8.230339492909325, + "grad_norm": 1.359375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9832, + "mean_token_accuracy": 0.23178735971450806, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.73343677520752, + "epoch": 8.23463687150838, + "grad_norm": 1.3671875, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.24406977444887162, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.700839996337891, + "epoch": 8.238934250107434, + "grad_norm": 1.3359375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.8358, + "mean_token_accuracy": 0.24239999651908875, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.75614857673645, + "epoch": 8.24323162870649, + "grad_norm": 1.25, + "learning_rate": 8.951826639309257e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23965495973825454, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.700466012954712, + "epoch": 8.247529007305543, + "grad_norm": 1.375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24223389178514482, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.698475551605225, + "epoch": 8.251826385904598, + "grad_norm": 1.359375, + "learning_rate": 8.914266583627684e-05, + "loss": 4.8291, + "mean_token_accuracy": 0.24232960790395736, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.786036348342895, + "epoch": 8.256123764503652, + "grad_norm": 1.4375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.905, + "mean_token_accuracy": 0.23367423713207244, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.71298189163208, + "epoch": 8.260421143102707, + "grad_norm": 1.296875, + "learning_rate": 8.876868863110013e-05, + "loss": 4.9215, + "mean_token_accuracy": 0.23382412493228913, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.784276628494263, + "epoch": 8.264718521701761, + "grad_norm": 1.234375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.8705, + "mean_token_accuracy": 0.23859835118055345, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.768792533874512, + "epoch": 8.269015900300817, + "grad_norm": 1.25, + "learning_rate": 8.839633804402747e-05, + "loss": 4.9358, + "mean_token_accuracy": 0.23131754696369172, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.767839860916138, + "epoch": 8.27331327889987, + "grad_norm": 1.4453125, + "learning_rate": 8.821077374916647e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.24630177915096282, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.680627489089966, + "epoch": 8.277610657498926, + "grad_norm": 1.375, + "learning_rate": 8.802561732731654e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.2398720934987068, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.7917811393737795, + "epoch": 8.281908036097981, + "grad_norm": 1.2265625, + "learning_rate": 8.784086918278534e-05, + "loss": 4.9316, + "mean_token_accuracy": 0.22891969829797745, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.692333650588989, + "epoch": 8.286205414697035, + "grad_norm": 1.2890625, + "learning_rate": 8.765652971898908e-05, + "loss": 4.8077, + "mean_token_accuracy": 0.24528621435165404, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.738155460357666, + "epoch": 8.29050279329609, + "grad_norm": 1.4140625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.9463, + "mean_token_accuracy": 0.24599668383598328, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.774512910842896, + "epoch": 8.294800171895144, + "grad_norm": 1.2265625, + "learning_rate": 8.728907844280254e-05, + "loss": 4.9443, + "mean_token_accuracy": 0.23179508298635482, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.730475330352784, + "epoch": 8.2990975504942, + "grad_norm": 1.421875, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8814, + "mean_token_accuracy": 0.2452605828642845, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.730258941650391, + "epoch": 8.303394929093253, + "grad_norm": 1.3671875, + "learning_rate": 8.692326670822207e-05, + "loss": 4.8157, + "mean_token_accuracy": 0.2448845013976097, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.740361738204956, + "epoch": 8.307692307692308, + "grad_norm": 1.2890625, + "learning_rate": 8.6740976668077e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.2443626791238785, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.683072328567505, + "epoch": 8.311989686291362, + "grad_norm": 1.4296875, + "learning_rate": 8.655909771039239e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.24255885183811188, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.764631128311157, + "epoch": 8.316287064890417, + "grad_norm": 1.5546875, + "learning_rate": 8.637763023231922e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.23544830977916717, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.629233980178833, + "epoch": 8.320584443489471, + "grad_norm": 1.3828125, + "learning_rate": 8.619657463010987e-05, + "loss": 4.7745, + "mean_token_accuracy": 0.24312002211809158, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.785550355911255, + "epoch": 8.324881822088527, + "grad_norm": 1.4296875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.9774, + "mean_token_accuracy": 0.23317618519067765, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.765936279296875, + "epoch": 8.32917920068758, + "grad_norm": 1.25, + "learning_rate": 8.583570063379487e-05, + "loss": 4.908, + "mean_token_accuracy": 0.24077682793140412, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.728990364074707, + "epoch": 8.333476579286636, + "grad_norm": 1.390625, + "learning_rate": 8.565588302769374e-05, + "loss": 4.848, + "mean_token_accuracy": 0.23626988530158996, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.673337030410766, + "epoch": 8.33777395788569, + "grad_norm": 1.3046875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.8609, + "mean_token_accuracy": 0.24892795085906982, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.765714406967163, + "epoch": 8.342071336484745, + "grad_norm": 1.2734375, + "learning_rate": 8.529748856285228e-05, + "loss": 4.8606, + "mean_token_accuracy": 0.2417272850871086, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.737577295303344, + "epoch": 8.346368715083798, + "grad_norm": 1.359375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.2430541396141052, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.78171010017395, + "epoch": 8.350666093682854, + "grad_norm": 1.4375, + "learning_rate": 8.494075103495245e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23714551329612732, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.782537889480591, + "epoch": 8.354963472281907, + "grad_norm": 1.3125, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8997, + "mean_token_accuracy": 0.22940298169851303, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.75561261177063, + "epoch": 8.359260850880963, + "grad_norm": 1.2890625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.9546, + "mean_token_accuracy": 0.22492529600858688, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.705477094650268, + "epoch": 8.363558229480017, + "grad_norm": 1.1171875, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8802, + "mean_token_accuracy": 0.2351899713277817, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.730382871627808, + "epoch": 8.367855608079072, + "grad_norm": 1.2578125, + "learning_rate": 8.423225923902608e-05, + "loss": 4.8545, + "mean_token_accuracy": 0.2428334668278694, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.678792095184326, + "epoch": 8.372152986678126, + "grad_norm": 1.3515625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.8015, + "mean_token_accuracy": 0.2536479622125626, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.7832560539245605, + "epoch": 8.376450365277181, + "grad_norm": 1.2265625, + "learning_rate": 8.388051115924781e-05, + "loss": 4.9787, + "mean_token_accuracy": 0.22999690473079681, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.733207416534424, + "epoch": 8.380747743876235, + "grad_norm": 1.328125, + "learning_rate": 8.370526292042774e-05, + "loss": 4.8385, + "mean_token_accuracy": 0.24650791734457017, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.665503215789795, + "epoch": 8.38504512247529, + "grad_norm": 1.5234375, + "learning_rate": 8.353043239285357e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.2454715371131897, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.736371994018555, + "epoch": 8.389342501074344, + "grad_norm": 1.4140625, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8971, + "mean_token_accuracy": 0.2377567008137703, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.739968490600586, + "epoch": 8.3936398796734, + "grad_norm": 1.2890625, + "learning_rate": 8.318202599757008e-05, + "loss": 4.9148, + "mean_token_accuracy": 0.23634277582168578, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.708938121795654, + "epoch": 8.397937258272453, + "grad_norm": 1.3671875, + "learning_rate": 8.30084508906411e-05, + "loss": 4.8183, + "mean_token_accuracy": 0.24032998383045195, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.693941688537597, + "epoch": 8.402234636871508, + "grad_norm": 1.3828125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8933, + "mean_token_accuracy": 0.2311558097600937, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.720448160171509, + "epoch": 8.406532015470564, + "grad_norm": 1.2734375, + "learning_rate": 8.266255875330095e-05, + "loss": 4.8376, + "mean_token_accuracy": 0.24367564618587495, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.707212591171265, + "epoch": 8.410829394069617, + "grad_norm": 1.359375, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8865, + "mean_token_accuracy": 0.23894913047552108, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.717279958724975, + "epoch": 8.415126772668673, + "grad_norm": 1.21875, + "learning_rate": 8.231834656742402e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2380632221698761, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.745273447036743, + "epoch": 8.419424151267727, + "grad_norm": 1.359375, + "learning_rate": 8.214687139638494e-05, + "loss": 4.9124, + "mean_token_accuracy": 0.24023134857416154, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.7758644104003904, + "epoch": 8.423721529866782, + "grad_norm": 1.453125, + "learning_rate": 8.197581733949597e-05, + "loss": 4.8666, + "mean_token_accuracy": 0.25315709263086317, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.774426078796386, + "epoch": 8.428018908465836, + "grad_norm": 1.4609375, + "learning_rate": 8.180518477027083e-05, + "loss": 4.8961, + "mean_token_accuracy": 0.23910606354475022, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.620084571838379, + "epoch": 8.432316287064891, + "grad_norm": 1.28125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.24886348992586135, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.8178997993469235, + "epoch": 8.436613665663945, + "grad_norm": 1.265625, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9902, + "mean_token_accuracy": 0.2252660185098648, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.741954326629639, + "epoch": 8.440911044263, + "grad_norm": 1.4140625, + "learning_rate": 8.129581970990507e-05, + "loss": 4.8553, + "mean_token_accuracy": 0.24823236614465713, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.732809400558471, + "epoch": 8.445208422862054, + "grad_norm": 1.4140625, + "learning_rate": 8.11268768080528e-05, + "loss": 4.8564, + "mean_token_accuracy": 0.23900128602981568, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.7832074642181395, + "epoch": 8.44950580146111, + "grad_norm": 1.4609375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.9673, + "mean_token_accuracy": 0.22997304052114487, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.718025875091553, + "epoch": 8.453803180060163, + "grad_norm": 1.46875, + "learning_rate": 8.079026139655946e-05, + "loss": 4.9255, + "mean_token_accuracy": 0.23200517892837524, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.685693693161011, + "epoch": 8.458100558659218, + "grad_norm": 1.296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.8057, + "mean_token_accuracy": 0.2456534430384636, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.726854228973389, + "epoch": 8.462397937258272, + "grad_norm": 1.46875, + "learning_rate": 8.04553422899167e-05, + "loss": 4.8925, + "mean_token_accuracy": 0.23469093143939973, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.708572816848755, + "epoch": 8.466695315857327, + "grad_norm": 1.2890625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.946, + "mean_token_accuracy": 0.23586695939302443, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.7173912525177, + "epoch": 8.470992694456381, + "grad_norm": 1.3125, + "learning_rate": 8.01221224134408e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.24219889491796492, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.743465614318848, + "epoch": 8.475290073055437, + "grad_norm": 1.3671875, + "learning_rate": 7.995615059661907e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.2368515193462372, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.759069204330444, + "epoch": 8.47958745165449, + "grad_norm": 1.3359375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.904, + "mean_token_accuracy": 0.24082816541194915, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.689574384689331, + "epoch": 8.483884830253546, + "grad_norm": 1.4375, + "learning_rate": 7.962548501788811e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.24400141090154648, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.72466893196106, + "epoch": 8.4881822088526, + "grad_norm": 1.390625, + "learning_rate": 7.946079197802028e-05, + "loss": 4.9225, + "mean_token_accuracy": 0.23353277146816254, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.713424777984619, + "epoch": 8.492479587451655, + "grad_norm": 1.5, + "learning_rate": 7.929652591762636e-05, + "loss": 4.911, + "mean_token_accuracy": 0.2364127442240715, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.730654716491699, + "epoch": 8.496776966050708, + "grad_norm": 1.4296875, + "learning_rate": 7.913268719539785e-05, + "loss": 4.9171, + "mean_token_accuracy": 0.2429963693022728, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.689770078659057, + "epoch": 8.501074344649764, + "grad_norm": 1.359375, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7824, + "mean_token_accuracy": 0.2481196016073227, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.751080274581909, + "epoch": 8.505371723248818, + "grad_norm": 1.25, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8956, + "mean_token_accuracy": 0.24801230430603027, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.73831958770752, + "epoch": 8.509669101847873, + "grad_norm": 1.296875, + "learning_rate": 7.864373863061717e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.24250307977199553, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.7382752895355225, + "epoch": 8.513966480446927, + "grad_norm": 1.4453125, + "learning_rate": 7.848161282929006e-05, + "loss": 4.8881, + "mean_token_accuracy": 0.2407060906291008, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.776788902282715, + "epoch": 8.518263859045982, + "grad_norm": 1.3671875, + "learning_rate": 7.831991614557274e-05, + "loss": 4.903, + "mean_token_accuracy": 0.23019613772630693, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.7528174877166744, + "epoch": 8.522561237645036, + "grad_norm": 1.359375, + "learning_rate": 7.815864893254619e-05, + "loss": 4.891, + "mean_token_accuracy": 0.2360119715332985, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.7316086769104, + "epoch": 8.526858616244091, + "grad_norm": 1.3203125, + "learning_rate": 7.799781154235361e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.24154060184955597, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.808560800552368, + "epoch": 8.531155994843147, + "grad_norm": 1.453125, + "learning_rate": 7.783740432619954e-05, + "loss": 4.9671, + "mean_token_accuracy": 0.22287265360355377, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.714200210571289, + "epoch": 8.5354533734422, + "grad_norm": 1.3828125, + "learning_rate": 7.767742763434922e-05, + "loss": 4.9079, + "mean_token_accuracy": 0.23346690237522125, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.666274166107177, + "epoch": 8.539750752041256, + "grad_norm": 1.28125, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24585407674312593, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.755437517166138, + "epoch": 8.54404813064031, + "grad_norm": 1.390625, + "learning_rate": 7.735876721991945e-05, + "loss": 4.9507, + "mean_token_accuracy": 0.23148660957813263, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.743089199066162, + "epoch": 8.548345509239365, + "grad_norm": 1.2265625, + "learning_rate": 7.720008419316708e-05, + "loss": 4.9242, + "mean_token_accuracy": 0.2357686460018158, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.700260353088379, + "epoch": 8.552642887838418, + "grad_norm": 1.2734375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.8213, + "mean_token_accuracy": 0.24597719609737395, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.662213611602783, + "epoch": 8.556940266437474, + "grad_norm": 1.2421875, + "learning_rate": 7.688401423308799e-05, + "loss": 4.8233, + "mean_token_accuracy": 0.2466511309146881, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.671461486816407, + "epoch": 8.561237645036528, + "grad_norm": 1.4296875, + "learning_rate": 7.672662798993174e-05, + "loss": 4.8247, + "mean_token_accuracy": 0.2511079117655754, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.7380656719207765, + "epoch": 8.565535023635583, + "grad_norm": 1.328125, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8936, + "mean_token_accuracy": 0.242263326048851, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.707980823516846, + "epoch": 8.569832402234637, + "grad_norm": 1.328125, + "learning_rate": 7.641315469572841e-05, + "loss": 4.8431, + "mean_token_accuracy": 0.24148163497447966, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.769561052322388, + "epoch": 8.574129780833692, + "grad_norm": 1.1953125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.24106623828411103, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.753009605407715, + "epoch": 8.578427159432746, + "grad_norm": 1.3359375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.996, + "mean_token_accuracy": 0.2327938124537468, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.748133611679077, + "epoch": 8.582724538031801, + "grad_norm": 1.3984375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.9078, + "mean_token_accuracy": 0.23580171167850494, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.725798463821411, + "epoch": 8.587021916630855, + "grad_norm": 1.4140625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.8523, + "mean_token_accuracy": 0.2376137688755989, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.7189679622650145, + "epoch": 8.59131929522991, + "grad_norm": 1.4765625, + "learning_rate": 7.563706600833737e-05, + "loss": 4.9063, + "mean_token_accuracy": 0.2349215939640999, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.534239016137682, + "eval_loss": 5.892942428588867, + "eval_mean_token_accuracy": 0.18259063309377377, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0512, + "eval_samples_per_second": 1730.231, + "eval_steps_per_second": 216.462, + "step": 10000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4089487254128640.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-10000/training_args.bin b/checkpoint-10000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-10000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-10500/added_tokens.json b/checkpoint-10500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-10500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-10500/config.json b/checkpoint-10500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-10500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-10500/generation_config.json b/checkpoint-10500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-10500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-10500/model.safetensors b/checkpoint-10500/model.safetensors new file mode 100644 index 0000000..67dc4c5 --- /dev/null +++ b/checkpoint-10500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8dc2383c831cfca8e21c731e2f7c836704343c4a505442f22f5776cbb44c3de0 +size 78179408 diff --git a/checkpoint-10500/rng_state.pth b/checkpoint-10500/rng_state.pth new file mode 100644 index 0000000..57901d1 --- /dev/null +++ b/checkpoint-10500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ac8dc317795b69795969ffd0071fd2f06944d60fcce944e67a19a46c3e9d988 +size 14645 diff --git a/checkpoint-10500/special_tokens_map.json b/checkpoint-10500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-10500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-10500/spiece.model b/checkpoint-10500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-10500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-10500/tokenizer_config.json b/checkpoint-10500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-10500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-10500/trainer_state.json b/checkpoint-10500/trainer_state.json new file mode 100644 index 0000000..d12f2aa --- /dev/null +++ b/checkpoint-10500/trainer_state.json @@ -0,0 +1,21265 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.020627417275461, + "eval_steps": 500, + "global_step": 10500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + }, + { + "entropy": 5.66387529373169, + "epoch": 7.306832831972497, + "grad_norm": 1.203125, + "learning_rate": 0.00013938223617599124, + "loss": 4.9421, + "mean_token_accuracy": 0.23342001885175706, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.74355845451355, + "epoch": 7.311130210571552, + "grad_norm": 1.4375, + "learning_rate": 0.00013911708523901514, + "loss": 4.9755, + "mean_token_accuracy": 0.23636211156845094, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.763104438781738, + "epoch": 7.315427589170606, + "grad_norm": 1.2734375, + "learning_rate": 0.00013885223101601303, + "loss": 4.8955, + "mean_token_accuracy": 0.23637697100639343, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.71501669883728, + "epoch": 7.319724967769661, + "grad_norm": 1.265625, + "learning_rate": 0.00013858767408532051, + "loss": 4.8816, + "mean_token_accuracy": 0.24099365025758743, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.723988056182861, + "epoch": 7.324022346368715, + "grad_norm": 1.375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8774, + "mean_token_accuracy": 0.23590993583202363, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.737170457839966, + "epoch": 7.32831972496777, + "grad_norm": 1.46875, + "learning_rate": 0.00013805945441096057, + "loss": 4.9277, + "mean_token_accuracy": 0.23668332844972612, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.7540687084197994, + "epoch": 7.332617103566824, + "grad_norm": 1.375, + "learning_rate": 0.00013779579282071364, + "loss": 4.9306, + "mean_token_accuracy": 0.2349459186196327, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.676801681518555, + "epoch": 7.336914482165879, + "grad_norm": 1.28125, + "learning_rate": 0.00013753243082961512, + "loss": 4.8768, + "mean_token_accuracy": 0.24011008739471434, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.68070273399353, + "epoch": 7.3412118607649335, + "grad_norm": 1.328125, + "learning_rate": 0.00013726936901274246, + "loss": 4.8393, + "mean_token_accuracy": 0.24872156083583832, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.800928020477295, + "epoch": 7.345509239363988, + "grad_norm": 1.21875, + "learning_rate": 0.0001370066079445174, + "loss": 4.9704, + "mean_token_accuracy": 0.23076788932085038, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.79030556678772, + "epoch": 7.349806617963043, + "grad_norm": 1.2421875, + "learning_rate": 0.00013674414819870502, + "loss": 5.0745, + "mean_token_accuracy": 0.22369800060987471, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.730133438110352, + "epoch": 7.354103996562097, + "grad_norm": 1.3984375, + "learning_rate": 0.00013648199034841264, + "loss": 4.92, + "mean_token_accuracy": 0.2387056604027748, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.69276180267334, + "epoch": 7.358401375161152, + "grad_norm": 1.34375, + "learning_rate": 0.0001362201349660882, + "loss": 4.8912, + "mean_token_accuracy": 0.24466140568256378, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.666532707214356, + "epoch": 7.362698753760206, + "grad_norm": 1.3203125, + "learning_rate": 0.0001359585826235192, + "loss": 4.8956, + "mean_token_accuracy": 0.24125270992517472, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.799620962142944, + "epoch": 7.366996132359261, + "grad_norm": 1.3984375, + "learning_rate": 0.00013569733389183126, + "loss": 4.9952, + "mean_token_accuracy": 0.22822352200746537, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.758121490478516, + "epoch": 7.371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.00013543638934148736, + "loss": 4.9296, + "mean_token_accuracy": 0.23435905277729036, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.814731168746948, + "epoch": 7.37559088955737, + "grad_norm": 1.359375, + "learning_rate": 0.000135175749542286, + "loss": 4.9821, + "mean_token_accuracy": 0.22124236524105073, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.67050518989563, + "epoch": 7.379888268156424, + "grad_norm": 1.21875, + "learning_rate": 0.0001349154150633604, + "loss": 4.8697, + "mean_token_accuracy": 0.2459047943353653, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.741513633728028, + "epoch": 7.384185646755479, + "grad_norm": 1.2578125, + "learning_rate": 0.000134655386473177, + "loss": 5.0171, + "mean_token_accuracy": 0.22208292037248611, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.637994432449341, + "epoch": 7.3884830253545335, + "grad_norm": 1.4375, + "learning_rate": 0.00013439566433953427, + "loss": 4.892, + "mean_token_accuracy": 0.2412777841091156, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.720129156112671, + "epoch": 7.392780403953588, + "grad_norm": 1.3359375, + "learning_rate": 0.0001341362492295616, + "loss": 4.89, + "mean_token_accuracy": 0.2424454867839813, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.777584362030029, + "epoch": 7.397077782552643, + "grad_norm": 1.46875, + "learning_rate": 0.00013387714170971776, + "loss": 4.9287, + "mean_token_accuracy": 0.22944550216197968, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.785937261581421, + "epoch": 7.401375161151697, + "grad_norm": 1.265625, + "learning_rate": 0.00013361834234579012, + "loss": 5.0178, + "mean_token_accuracy": 0.22616576850414277, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.6717626571655275, + "epoch": 7.405672539750752, + "grad_norm": 1.3671875, + "learning_rate": 0.0001333598517028931, + "loss": 4.9006, + "mean_token_accuracy": 0.23272989243268966, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.688118124008179, + "epoch": 7.409969918349806, + "grad_norm": 1.3125, + "learning_rate": 0.00013310167034546688, + "loss": 4.887, + "mean_token_accuracy": 0.2374843627214432, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.749850463867188, + "epoch": 7.414267296948861, + "grad_norm": 1.3984375, + "learning_rate": 0.0001328437988372763, + "loss": 4.9595, + "mean_token_accuracy": 0.22750054448843002, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.756968069076538, + "epoch": 7.418564675547916, + "grad_norm": 1.3125, + "learning_rate": 0.00013258623774140967, + "loss": 4.9342, + "mean_token_accuracy": 0.2360052227973938, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.706060266494751, + "epoch": 7.422862054146971, + "grad_norm": 1.375, + "learning_rate": 0.00013232898762027766, + "loss": 4.8852, + "mean_token_accuracy": 0.2418963521718979, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.772034740447998, + "epoch": 7.427159432746025, + "grad_norm": 1.2734375, + "learning_rate": 0.00013207204903561154, + "loss": 4.978, + "mean_token_accuracy": 0.23209577053785324, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.702054405212403, + "epoch": 7.43145681134508, + "grad_norm": 1.234375, + "learning_rate": 0.00013181542254846247, + "loss": 4.8473, + "mean_token_accuracy": 0.2422897547483444, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.75566291809082, + "epoch": 7.435754189944134, + "grad_norm": 1.390625, + "learning_rate": 0.0001315591087192002, + "loss": 4.9831, + "mean_token_accuracy": 0.2323268622159958, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.655916357040406, + "epoch": 7.440051568543189, + "grad_norm": 1.234375, + "learning_rate": 0.00013130310810751162, + "loss": 4.8862, + "mean_token_accuracy": 0.23978102058172227, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.784155988693238, + "epoch": 7.4443489471422435, + "grad_norm": 1.3671875, + "learning_rate": 0.00013104742127239983, + "loss": 5.016, + "mean_token_accuracy": 0.22613199800252914, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.7693627834320065, + "epoch": 7.448646325741298, + "grad_norm": 1.1484375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9986, + "mean_token_accuracy": 0.22481437474489213, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.737584114074707, + "epoch": 7.452943704340353, + "grad_norm": 1.375, + "learning_rate": 0.00013053699116449144, + "loss": 4.9084, + "mean_token_accuracy": 0.22960878312587737, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.89331545829773, + "epoch": 7.457241082939407, + "grad_norm": 1.203125, + "learning_rate": 0.00013028224900627026, + "loss": 5.0301, + "mean_token_accuracy": 0.21912138164043427, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.803331756591797, + "epoch": 7.461538461538462, + "grad_norm": 1.0625, + "learning_rate": 0.00013002782285377395, + "loss": 4.9622, + "mean_token_accuracy": 0.2376553386449814, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.750441551208496, + "epoch": 7.465835840137516, + "grad_norm": 1.4375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9946, + "mean_token_accuracy": 0.2235792651772499, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.789198493957519, + "epoch": 7.470133218736571, + "grad_norm": 1.5, + "learning_rate": 0.00012951992078752528, + "loss": 4.9474, + "mean_token_accuracy": 0.2321646735072136, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.744178915023804, + "epoch": 7.474430597335625, + "grad_norm": 1.1953125, + "learning_rate": 0.00012926644598282798, + "loss": 4.9459, + "mean_token_accuracy": 0.22402314394712447, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.74596061706543, + "epoch": 7.47872797593468, + "grad_norm": 1.234375, + "learning_rate": 0.0001290132894019634, + "loss": 4.9661, + "mean_token_accuracy": 0.23607563078403473, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.778988885879516, + "epoch": 7.483025354533734, + "grad_norm": 1.28125, + "learning_rate": 0.00012876045159772442, + "loss": 4.9489, + "mean_token_accuracy": 0.23937921822071076, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.773708295822144, + "epoch": 7.487322733132789, + "grad_norm": 1.3359375, + "learning_rate": 0.00012850793312220766, + "loss": 4.9283, + "mean_token_accuracy": 0.23426500260829924, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.674078750610351, + "epoch": 7.4916201117318435, + "grad_norm": 1.25, + "learning_rate": 0.00012825573452681266, + "loss": 4.8773, + "mean_token_accuracy": 0.24968714416027069, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.735969209671021, + "epoch": 7.495917490330898, + "grad_norm": 1.375, + "learning_rate": 0.00012800385636224017, + "loss": 4.9358, + "mean_token_accuracy": 0.23501814007759095, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.747404956817627, + "epoch": 7.500214868929953, + "grad_norm": 1.40625, + "learning_rate": 0.00012775229917849162, + "loss": 4.9054, + "mean_token_accuracy": 0.23629093021154404, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.761697673797608, + "epoch": 7.504512247529007, + "grad_norm": 1.234375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8979, + "mean_token_accuracy": 0.2428216427564621, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.700611209869384, + "epoch": 7.508809626128062, + "grad_norm": 1.171875, + "learning_rate": 0.00012725014994996534, + "loss": 4.9339, + "mean_token_accuracy": 0.24504542350769043, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.807457494735718, + "epoch": 7.513107004727116, + "grad_norm": 1.25, + "learning_rate": 0.00012699955900168075, + "loss": 4.9282, + "mean_token_accuracy": 0.229953795671463, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.729871797561645, + "epoch": 7.517404383326171, + "grad_norm": 1.3046875, + "learning_rate": 0.00012674929122720414, + "loss": 4.9777, + "mean_token_accuracy": 0.2232517972588539, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.635332775115967, + "epoch": 7.521701761925225, + "grad_norm": 1.2265625, + "learning_rate": 0.0001264993471730202, + "loss": 4.8575, + "mean_token_accuracy": 0.24274646639823913, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.737993383407593, + "epoch": 7.52599914052428, + "grad_norm": 1.3046875, + "learning_rate": 0.00012624972738490675, + "loss": 5.0013, + "mean_token_accuracy": 0.22250534743070602, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.810367679595947, + "epoch": 7.530296519123334, + "grad_norm": 1.21875, + "learning_rate": 0.00012600043240793368, + "loss": 4.9765, + "mean_token_accuracy": 0.2321833461523056, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.74908938407898, + "epoch": 7.534593897722389, + "grad_norm": 1.3671875, + "learning_rate": 0.00012575146278646175, + "loss": 4.8922, + "mean_token_accuracy": 0.23532313406467437, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.7044130802154545, + "epoch": 7.5388912763214435, + "grad_norm": 1.21875, + "learning_rate": 0.00012550281906414097, + "loss": 4.9005, + "mean_token_accuracy": 0.23530834317207336, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.754625558853149, + "epoch": 7.543188654920499, + "grad_norm": 1.234375, + "learning_rate": 0.00012525450178390972, + "loss": 4.9416, + "mean_token_accuracy": 0.2437831625342369, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.779452610015869, + "epoch": 7.547486033519553, + "grad_norm": 1.3046875, + "learning_rate": 0.0001250065114879939, + "loss": 4.9461, + "mean_token_accuracy": 0.23520458936691285, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.705014038085937, + "epoch": 7.551783412118608, + "grad_norm": 1.2890625, + "learning_rate": 0.00012475884871790505, + "loss": 4.8667, + "mean_token_accuracy": 0.2412562444806099, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.8083795547485355, + "epoch": 7.556080790717663, + "grad_norm": 1.296875, + "learning_rate": 0.00012451151401443982, + "loss": 5.0036, + "mean_token_accuracy": 0.22445941120386123, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.658902978897094, + "epoch": 7.560378169316717, + "grad_norm": 1.3046875, + "learning_rate": 0.00012426450791767815, + "loss": 4.8297, + "mean_token_accuracy": 0.24630579203367234, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.727620363235474, + "epoch": 7.564675547915772, + "grad_norm": 1.34375, + "learning_rate": 0.00012401783096698283, + "loss": 4.7861, + "mean_token_accuracy": 0.24524826556444168, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.739884567260742, + "epoch": 7.568972926514826, + "grad_norm": 1.203125, + "learning_rate": 0.00012377148370099764, + "loss": 4.9565, + "mean_token_accuracy": 0.22828071862459182, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.752638149261474, + "epoch": 7.573270305113881, + "grad_norm": 1.3046875, + "learning_rate": 0.00012352546665764642, + "loss": 4.9625, + "mean_token_accuracy": 0.22861632257699965, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.631821250915527, + "epoch": 7.577567683712935, + "grad_norm": 1.25, + "learning_rate": 0.00012327978037413219, + "loss": 4.8393, + "mean_token_accuracy": 0.2455634668469429, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.749710655212402, + "epoch": 7.58186506231199, + "grad_norm": 1.3828125, + "learning_rate": 0.00012303442538693564, + "loss": 4.9425, + "mean_token_accuracy": 0.23156363964080812, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.689564323425293, + "epoch": 7.586162440911044, + "grad_norm": 1.390625, + "learning_rate": 0.00012278940223181393, + "loss": 4.8338, + "mean_token_accuracy": 0.23270008265972136, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.725271081924438, + "epoch": 7.590459819510099, + "grad_norm": 1.25, + "learning_rate": 0.00012254471144379964, + "loss": 4.8128, + "mean_token_accuracy": 0.25256053656339644, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.727273273468017, + "epoch": 7.5947571981091535, + "grad_norm": 1.21875, + "learning_rate": 0.00012230035355719968, + "loss": 4.9651, + "mean_token_accuracy": 0.23480646908283234, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.772902631759644, + "epoch": 7.599054576708208, + "grad_norm": 1.2421875, + "learning_rate": 0.0001220563291055941, + "loss": 4.9437, + "mean_token_accuracy": 0.23261293321847915, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.765447664260864, + "epoch": 7.603351955307263, + "grad_norm": 1.3125, + "learning_rate": 0.0001218126386218347, + "loss": 4.9353, + "mean_token_accuracy": 0.23733194619417192, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.6730225563049315, + "epoch": 7.607649333906317, + "grad_norm": 1.3671875, + "learning_rate": 0.00012156928263804403, + "loss": 4.8637, + "mean_token_accuracy": 0.24171005487442015, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.743314933776856, + "epoch": 7.611946712505372, + "grad_norm": 1.421875, + "learning_rate": 0.0001213262616856144, + "loss": 5.0012, + "mean_token_accuracy": 0.2306993141770363, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.747490549087525, + "epoch": 7.616244091104426, + "grad_norm": 1.4453125, + "learning_rate": 0.00012108357629520635, + "loss": 4.9057, + "mean_token_accuracy": 0.2387942299246788, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.7210612297058105, + "epoch": 7.620541469703481, + "grad_norm": 1.34375, + "learning_rate": 0.00012084122699674785, + "loss": 4.8936, + "mean_token_accuracy": 0.23947659581899644, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.73658299446106, + "epoch": 7.624838848302535, + "grad_norm": 1.375, + "learning_rate": 0.00012059921431943278, + "loss": 4.943, + "mean_token_accuracy": 0.22805553525686265, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.778007841110229, + "epoch": 7.62913622690159, + "grad_norm": 1.4453125, + "learning_rate": 0.00012035753879172026, + "loss": 5.1314, + "mean_token_accuracy": 0.21736743450164794, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.67980465888977, + "epoch": 7.633433605500644, + "grad_norm": 1.375, + "learning_rate": 0.00012011620094133296, + "loss": 4.7809, + "mean_token_accuracy": 0.25052584558725355, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.683636951446533, + "epoch": 7.637730984099699, + "grad_norm": 1.2421875, + "learning_rate": 0.00011987520129525622, + "loss": 4.923, + "mean_token_accuracy": 0.2359049841761589, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.739316749572754, + "epoch": 7.6420283626987535, + "grad_norm": 1.46875, + "learning_rate": 0.000119634540379737, + "loss": 4.9459, + "mean_token_accuracy": 0.23375426828861237, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.769543027877807, + "epoch": 7.646325741297808, + "grad_norm": 1.3359375, + "learning_rate": 0.00011939421872028262, + "loss": 4.9518, + "mean_token_accuracy": 0.2293008342385292, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.688256788253784, + "epoch": 7.650623119896863, + "grad_norm": 1.296875, + "learning_rate": 0.00011915423684165948, + "loss": 4.8695, + "mean_token_accuracy": 0.2363400101661682, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.784082841873169, + "epoch": 7.654920498495917, + "grad_norm": 1.21875, + "learning_rate": 0.00011891459526789198, + "loss": 4.9513, + "mean_token_accuracy": 0.23087790459394456, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.750850200653076, + "epoch": 7.659217877094972, + "grad_norm": 1.2578125, + "learning_rate": 0.0001186752945222616, + "loss": 4.9408, + "mean_token_accuracy": 0.230193392932415, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.741831827163696, + "epoch": 7.663515255694026, + "grad_norm": 1.171875, + "learning_rate": 0.00011843633512730562, + "loss": 4.891, + "mean_token_accuracy": 0.23511849343776703, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.710381603240966, + "epoch": 7.667812634293082, + "grad_norm": 1.28125, + "learning_rate": 0.00011819771760481576, + "loss": 4.9056, + "mean_token_accuracy": 0.24004074782133103, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.659539985656738, + "epoch": 7.672110012892135, + "grad_norm": 1.3203125, + "learning_rate": 0.00011795944247583725, + "loss": 4.827, + "mean_token_accuracy": 0.2396245777606964, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.710673809051514, + "epoch": 7.676407391491191, + "grad_norm": 1.2265625, + "learning_rate": 0.00011772151026066789, + "loss": 4.8812, + "mean_token_accuracy": 0.23135425001382828, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.770887327194214, + "epoch": 7.680704770090245, + "grad_norm": 1.2421875, + "learning_rate": 0.00011748392147885642, + "loss": 5.0019, + "mean_token_accuracy": 0.22777645140886307, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.739024114608765, + "epoch": 7.6850021486893, + "grad_norm": 1.5390625, + "learning_rate": 0.00011724667664920177, + "loss": 4.9316, + "mean_token_accuracy": 0.23300305306911467, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.772635078430175, + "epoch": 7.689299527288354, + "grad_norm": 1.375, + "learning_rate": 0.00011700977628975183, + "loss": 5.0259, + "mean_token_accuracy": 0.22466233223676682, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.75628547668457, + "epoch": 7.693596905887409, + "grad_norm": 1.359375, + "learning_rate": 0.00011677322091780243, + "loss": 4.9441, + "mean_token_accuracy": 0.230313977599144, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.782389211654663, + "epoch": 7.6978942844864635, + "grad_norm": 1.3125, + "learning_rate": 0.0001165370110498958, + "loss": 4.9823, + "mean_token_accuracy": 0.22912768721580506, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.8072168827056885, + "epoch": 7.702191663085518, + "grad_norm": 1.3125, + "learning_rate": 0.00011630114720181989, + "loss": 4.9706, + "mean_token_accuracy": 0.2286185145378113, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.725326013565064, + "epoch": 7.706489041684573, + "grad_norm": 1.3046875, + "learning_rate": 0.00011606562988860711, + "loss": 4.9052, + "mean_token_accuracy": 0.23271812498569489, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.704691696166992, + "epoch": 7.710786420283627, + "grad_norm": 1.1796875, + "learning_rate": 0.0001158304596245332, + "loss": 4.8801, + "mean_token_accuracy": 0.23317846804857253, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.673254013061523, + "epoch": 7.715083798882682, + "grad_norm": 1.265625, + "learning_rate": 0.00011559563692311595, + "loss": 4.8871, + "mean_token_accuracy": 0.2425983503460884, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.715083312988281, + "epoch": 7.719381177481736, + "grad_norm": 1.25, + "learning_rate": 0.00011536116229711422, + "loss": 4.87, + "mean_token_accuracy": 0.23960913121700286, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.771728086471557, + "epoch": 7.723678556080791, + "grad_norm": 1.2734375, + "learning_rate": 0.000115127036258527, + "loss": 4.9468, + "mean_token_accuracy": 0.22923657298088074, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.707568883895874, + "epoch": 7.727975934679845, + "grad_norm": 1.375, + "learning_rate": 0.00011489325931859185, + "loss": 4.8257, + "mean_token_accuracy": 0.2456026166677475, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.703813886642456, + "epoch": 7.7322733132789, + "grad_norm": 1.2578125, + "learning_rate": 0.0001146598319877843, + "loss": 4.884, + "mean_token_accuracy": 0.2391938716173172, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.542284931685473, + "eval_loss": 5.893875598907471, + "eval_mean_token_accuracy": 0.18242550859445925, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0469, + "eval_samples_per_second": 1733.83, + "eval_steps_per_second": 216.912, + "step": 9000 + }, + { + "entropy": 5.730257511138916, + "epoch": 7.736570691877954, + "grad_norm": 1.40625, + "learning_rate": 0.00011442675477581621, + "loss": 4.946, + "mean_token_accuracy": 0.23982110470533372, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.769806432723999, + "epoch": 7.740868070477009, + "grad_norm": 1.2890625, + "learning_rate": 0.0001141940281916352, + "loss": 4.8663, + "mean_token_accuracy": 0.23052393943071364, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.7794060707092285, + "epoch": 7.7451654490760635, + "grad_norm": 1.2578125, + "learning_rate": 0.00011396165274342304, + "loss": 4.9934, + "mean_token_accuracy": 0.2219093069434166, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.702830696105957, + "epoch": 7.749462827675118, + "grad_norm": 1.2421875, + "learning_rate": 0.00011372962893859471, + "loss": 4.9375, + "mean_token_accuracy": 0.22916385978460313, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.685720300674438, + "epoch": 7.753760206274173, + "grad_norm": 1.28125, + "learning_rate": 0.00011349795728379759, + "loss": 4.9439, + "mean_token_accuracy": 0.2307956948876381, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.757158088684082, + "epoch": 7.758057584873227, + "grad_norm": 1.3046875, + "learning_rate": 0.00011326663828491, + "loss": 5.0021, + "mean_token_accuracy": 0.22755355685949324, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.731455373764038, + "epoch": 7.762354963472282, + "grad_norm": 1.4140625, + "learning_rate": 0.00011303567244704015, + "loss": 4.9722, + "mean_token_accuracy": 0.23510894626379014, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.787262058258056, + "epoch": 7.766652342071336, + "grad_norm": 1.296875, + "learning_rate": 0.00011280506027452502, + "loss": 5.0529, + "mean_token_accuracy": 0.21928364634513856, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.7590248584747314, + "epoch": 7.770949720670391, + "grad_norm": 1.3828125, + "learning_rate": 0.0001125748022709295, + "loss": 4.9702, + "mean_token_accuracy": 0.23275834918022156, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.787170457839966, + "epoch": 7.775247099269445, + "grad_norm": 1.2421875, + "learning_rate": 0.00011234489893904509, + "loss": 4.9795, + "mean_token_accuracy": 0.2291556641459465, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.732330751419068, + "epoch": 7.7795444778685, + "grad_norm": 1.3125, + "learning_rate": 0.00011211535078088869, + "loss": 4.8429, + "mean_token_accuracy": 0.24395294189453126, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.7382737159729, + "epoch": 7.783841856467554, + "grad_norm": 1.375, + "learning_rate": 0.00011188615829770171, + "loss": 4.9092, + "mean_token_accuracy": 0.23593527376651763, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.710181808471679, + "epoch": 7.788139235066609, + "grad_norm": 1.375, + "learning_rate": 0.00011165732198994905, + "loss": 4.9434, + "mean_token_accuracy": 0.23322095423936845, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.713530969619751, + "epoch": 7.792436613665664, + "grad_norm": 1.375, + "learning_rate": 0.00011142884235731756, + "loss": 4.9257, + "mean_token_accuracy": 0.23757666498422622, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.7721363544464115, + "epoch": 7.796733992264718, + "grad_norm": 1.5390625, + "learning_rate": 0.00011120071989871564, + "loss": 5.0154, + "mean_token_accuracy": 0.2297023668885231, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.661825942993164, + "epoch": 7.8010313708637735, + "grad_norm": 1.2109375, + "learning_rate": 0.00011097295511227134, + "loss": 4.8963, + "mean_token_accuracy": 0.2394334778189659, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.722220945358276, + "epoch": 7.805328749462827, + "grad_norm": 1.296875, + "learning_rate": 0.0001107455484953321, + "loss": 4.9024, + "mean_token_accuracy": 0.23700267672538758, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6848217964172365, + "epoch": 7.809626128061883, + "grad_norm": 1.34375, + "learning_rate": 0.00011051850054446306, + "loss": 4.9151, + "mean_token_accuracy": 0.23075505644083022, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.663630819320678, + "epoch": 7.813923506660937, + "grad_norm": 1.4375, + "learning_rate": 0.00011029181175544603, + "loss": 4.8506, + "mean_token_accuracy": 0.2431934058666229, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.792266893386841, + "epoch": 7.818220885259992, + "grad_norm": 1.4140625, + "learning_rate": 0.00011006548262327884, + "loss": 5.0166, + "mean_token_accuracy": 0.23040284514427184, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.806525135040284, + "epoch": 7.822518263859046, + "grad_norm": 1.2890625, + "learning_rate": 0.0001098395136421739, + "loss": 4.9812, + "mean_token_accuracy": 0.22473449409008026, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.760424566268921, + "epoch": 7.826815642458101, + "grad_norm": 1.1875, + "learning_rate": 0.00010961390530555712, + "loss": 4.9704, + "mean_token_accuracy": 0.22575420886278152, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.756677484512329, + "epoch": 7.831113021057155, + "grad_norm": 1.265625, + "learning_rate": 0.00010938865810606682, + "loss": 4.9295, + "mean_token_accuracy": 0.23352717459201813, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.738250303268432, + "epoch": 7.83541039965621, + "grad_norm": 1.1875, + "learning_rate": 0.00010916377253555293, + "loss": 4.9336, + "mean_token_accuracy": 0.22934698015451432, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.708257818222046, + "epoch": 7.839707778255264, + "grad_norm": 1.328125, + "learning_rate": 0.00010893924908507573, + "loss": 4.8916, + "mean_token_accuracy": 0.2412150412797928, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7717221736907955, + "epoch": 7.844005156854319, + "grad_norm": 1.390625, + "learning_rate": 0.0001087150882449046, + "loss": 4.9687, + "mean_token_accuracy": 0.23071876615285875, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.744738292694092, + "epoch": 7.8483025354533735, + "grad_norm": 1.265625, + "learning_rate": 0.00010849129050451717, + "loss": 4.9183, + "mean_token_accuracy": 0.23448994606733323, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.703471088409424, + "epoch": 7.852599914052428, + "grad_norm": 1.234375, + "learning_rate": 0.00010826785635259842, + "loss": 4.8756, + "mean_token_accuracy": 0.23654707819223403, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.713053512573242, + "epoch": 7.856897292651483, + "grad_norm": 1.4765625, + "learning_rate": 0.00010804478627703903, + "loss": 4.8403, + "mean_token_accuracy": 0.2534535199403763, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.770458030700683, + "epoch": 7.861194671250537, + "grad_norm": 1.6015625, + "learning_rate": 0.00010782208076493508, + "loss": 4.9587, + "mean_token_accuracy": 0.23223767578601837, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.747208118438721, + "epoch": 7.865492049849592, + "grad_norm": 1.3359375, + "learning_rate": 0.00010759974030258621, + "loss": 4.9428, + "mean_token_accuracy": 0.2311663582921028, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.7243444442749025, + "epoch": 7.869789428448646, + "grad_norm": 1.1796875, + "learning_rate": 0.00010737776537549531, + "loss": 4.9326, + "mean_token_accuracy": 0.24079572409391403, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.710455989837646, + "epoch": 7.874086807047701, + "grad_norm": 1.3515625, + "learning_rate": 0.00010715615646836679, + "loss": 4.8984, + "mean_token_accuracy": 0.23725621849298478, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.641438770294189, + "epoch": 7.878384185646755, + "grad_norm": 1.21875, + "learning_rate": 0.00010693491406510585, + "loss": 4.8848, + "mean_token_accuracy": 0.2445200726389885, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.747666835784912, + "epoch": 7.88268156424581, + "grad_norm": 1.328125, + "learning_rate": 0.00010671403864881757, + "loss": 4.9711, + "mean_token_accuracy": 0.2317958801984787, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.759106779098511, + "epoch": 7.8869789428448644, + "grad_norm": 1.2421875, + "learning_rate": 0.00010649353070180562, + "loss": 4.9623, + "mean_token_accuracy": 0.2380196452140808, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.734574794769287, + "epoch": 7.891276321443919, + "grad_norm": 1.296875, + "learning_rate": 0.00010627339070557118, + "loss": 4.9401, + "mean_token_accuracy": 0.24096089154481887, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.685746860504151, + "epoch": 7.8955737000429735, + "grad_norm": 1.2734375, + "learning_rate": 0.00010605361914081194, + "loss": 4.854, + "mean_token_accuracy": 0.24479493349790574, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.758388519287109, + "epoch": 7.899871078642028, + "grad_norm": 1.1640625, + "learning_rate": 0.00010583421648742125, + "loss": 4.8878, + "mean_token_accuracy": 0.24218843132257462, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.73368878364563, + "epoch": 7.904168457241083, + "grad_norm": 1.34375, + "learning_rate": 0.00010561518322448673, + "loss": 4.993, + "mean_token_accuracy": 0.22797715663909912, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.702595281600952, + "epoch": 7.908465835840137, + "grad_norm": 1.4140625, + "learning_rate": 0.00010539651983028955, + "loss": 4.868, + "mean_token_accuracy": 0.2413019374012947, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.685127592086792, + "epoch": 7.912763214439192, + "grad_norm": 1.3671875, + "learning_rate": 0.0001051782267823031, + "loss": 4.8558, + "mean_token_accuracy": 0.24108621031045913, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.721054267883301, + "epoch": 7.917060593038247, + "grad_norm": 1.3515625, + "learning_rate": 0.00010496030455719225, + "loss": 4.9251, + "mean_token_accuracy": 0.23336865305900573, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.724647521972656, + "epoch": 7.921357971637301, + "grad_norm": 1.34375, + "learning_rate": 0.00010474275363081193, + "loss": 4.9328, + "mean_token_accuracy": 0.23269153237342835, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.702741193771362, + "epoch": 7.925655350236356, + "grad_norm": 1.375, + "learning_rate": 0.0001045255744782064, + "loss": 4.9025, + "mean_token_accuracy": 0.24020729959011078, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.816455984115601, + "epoch": 7.92995272883541, + "grad_norm": 1.28125, + "learning_rate": 0.00010430876757360817, + "loss": 4.9837, + "mean_token_accuracy": 0.22814977616071702, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.668118476867676, + "epoch": 7.934250107434465, + "grad_norm": 1.359375, + "learning_rate": 0.00010409233339043694, + "loss": 4.8047, + "mean_token_accuracy": 0.24403645545244218, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.670865440368653, + "epoch": 7.93854748603352, + "grad_norm": 1.3359375, + "learning_rate": 0.00010387627240129838, + "loss": 4.8691, + "mean_token_accuracy": 0.23790572285652162, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.739948797225952, + "epoch": 7.942844864632574, + "grad_norm": 1.1953125, + "learning_rate": 0.00010366058507798326, + "loss": 4.9214, + "mean_token_accuracy": 0.2339615508913994, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.705602979660034, + "epoch": 7.947142243231629, + "grad_norm": 1.296875, + "learning_rate": 0.00010344527189146655, + "loss": 4.9528, + "mean_token_accuracy": 0.2274705156683922, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.739188241958618, + "epoch": 7.9514396218306835, + "grad_norm": 1.1875, + "learning_rate": 0.00010323033331190626, + "loss": 4.9274, + "mean_token_accuracy": 0.23373161852359772, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.76418023109436, + "epoch": 7.955737000429738, + "grad_norm": 1.3125, + "learning_rate": 0.00010301576980864228, + "loss": 4.8603, + "mean_token_accuracy": 0.2446628138422966, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.694305419921875, + "epoch": 7.960034379028793, + "grad_norm": 1.3671875, + "learning_rate": 0.00010280158185019547, + "loss": 4.9073, + "mean_token_accuracy": 0.24446062594652176, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.697159719467163, + "epoch": 7.964331757627847, + "grad_norm": 1.15625, + "learning_rate": 0.00010258776990426686, + "loss": 4.927, + "mean_token_accuracy": 0.24162409752607344, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.729753589630127, + "epoch": 7.968629136226902, + "grad_norm": 1.4375, + "learning_rate": 0.00010237433443773612, + "loss": 4.9118, + "mean_token_accuracy": 0.23850051164627076, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.655977869033814, + "epoch": 7.972926514825956, + "grad_norm": 1.203125, + "learning_rate": 0.00010216127591666115, + "loss": 4.9269, + "mean_token_accuracy": 0.24168841391801835, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.739932727813721, + "epoch": 7.977223893425011, + "grad_norm": 1.5234375, + "learning_rate": 0.00010194859480627648, + "loss": 4.9567, + "mean_token_accuracy": 0.2386748567223549, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.675134468078613, + "epoch": 7.981521272024065, + "grad_norm": 1.203125, + "learning_rate": 0.00010173629157099279, + "loss": 4.9575, + "mean_token_accuracy": 0.2281126633286476, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.714840936660766, + "epoch": 7.98581865062312, + "grad_norm": 1.15625, + "learning_rate": 0.00010152436667439537, + "loss": 4.9519, + "mean_token_accuracy": 0.23581907600164415, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.750794839859009, + "epoch": 7.9901160292221745, + "grad_norm": 1.3125, + "learning_rate": 0.00010131282057924345, + "loss": 4.888, + "mean_token_accuracy": 0.23815936595201492, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.780832004547119, + "epoch": 7.994413407821229, + "grad_norm": 1.25, + "learning_rate": 0.00010110165374746924, + "loss": 4.8951, + "mean_token_accuracy": 0.24371608346700668, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.744164609909058, + "epoch": 7.9987107864202835, + "grad_norm": 1.28125, + "learning_rate": 0.00010089086664017674, + "loss": 5.0412, + "mean_token_accuracy": 0.22926397770643234, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.742586241828071, + "epoch": 8.002578427159433, + "grad_norm": 1.296875, + "learning_rate": 0.00010068045971764067, + "loss": 4.8669, + "mean_token_accuracy": 0.240800850921207, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.752298831939697, + "epoch": 8.006875805758487, + "grad_norm": 1.3203125, + "learning_rate": 0.00010047043343930561, + "loss": 4.9556, + "mean_token_accuracy": 0.239510677754879, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.703397274017334, + "epoch": 8.011173184357542, + "grad_norm": 1.359375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7841, + "mean_token_accuracy": 0.2428373247385025, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.756609344482422, + "epoch": 8.015470562956596, + "grad_norm": 1.265625, + "learning_rate": 0.00010005152464886031, + "loss": 4.8276, + "mean_token_accuracy": 0.23863828033208848, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.721332359313965, + "epoch": 8.019767941555651, + "grad_norm": 1.21875, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2455083206295967, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.687017393112183, + "epoch": 8.024065320154705, + "grad_norm": 1.21875, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.2540111944079399, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.612176132202149, + "epoch": 8.02836269875376, + "grad_norm": 1.234375, + "learning_rate": 9.942602773296971e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.2532846137881279, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.7741395950317385, + "epoch": 8.032660077352816, + "grad_norm": 1.2578125, + "learning_rate": 9.921829492156223e-05, + "loss": 4.9684, + "mean_token_accuracy": 0.23141839802265168, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.75913782119751, + "epoch": 8.03695745595187, + "grad_norm": 1.5, + "learning_rate": 9.901094594713933e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23183894604444505, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.784180068969727, + "epoch": 8.041254834550925, + "grad_norm": 1.28125, + "learning_rate": 9.88039812624682e-05, + "loss": 4.9053, + "mean_token_accuracy": 0.23992706537246705, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.799221658706665, + "epoch": 8.045552213149978, + "grad_norm": 1.1328125, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2353417918086052, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.754740142822266, + "epoch": 8.049849591749034, + "grad_norm": 1.265625, + "learning_rate": 9.839120656925407e-05, + "loss": 4.9271, + "mean_token_accuracy": 0.2309979572892189, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.699716949462891, + "epoch": 8.054146970348087, + "grad_norm": 1.3046875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8744, + "mean_token_accuracy": 0.23718750476837158, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.7823670387268065, + "epoch": 8.058444348947143, + "grad_norm": 1.5, + "learning_rate": 9.797997444725745e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24111505299806596, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.69295825958252, + "epoch": 8.062741727546197, + "grad_norm": 1.28125, + "learning_rate": 9.77749379734506e-05, + "loss": 4.8774, + "mean_token_accuracy": 0.24546006321907043, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.734280729293824, + "epoch": 8.067039106145252, + "grad_norm": 1.3359375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23956651538610457, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.702370309829712, + "epoch": 8.071336484744306, + "grad_norm": 1.2734375, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.23692873120307922, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.742789077758789, + "epoch": 8.075633863343361, + "grad_norm": 1.265625, + "learning_rate": 9.716215227086997e-05, + "loss": 4.832, + "mean_token_accuracy": 0.24452268034219743, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.737786293029785, + "epoch": 8.079931241942415, + "grad_norm": 1.2421875, + "learning_rate": 9.695866642971098e-05, + "loss": 4.8761, + "mean_token_accuracy": 0.23521246314048766, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.735822296142578, + "epoch": 8.08422862054147, + "grad_norm": 1.3046875, + "learning_rate": 9.67555693596621e-05, + "loss": 4.922, + "mean_token_accuracy": 0.23624190241098403, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.697363328933716, + "epoch": 8.088525999140524, + "grad_norm": 1.2890625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24786596596240998, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.631302261352539, + "epoch": 8.09282337773958, + "grad_norm": 1.234375, + "learning_rate": 9.635054330597565e-05, + "loss": 4.7635, + "mean_token_accuracy": 0.2543473169207573, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.75023717880249, + "epoch": 8.097120756338633, + "grad_norm": 1.3515625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.24282941818237305, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.703547573089599, + "epoch": 8.101418134937688, + "grad_norm": 1.3359375, + "learning_rate": 9.594707764746881e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24557766914367676, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.64467306137085, + "epoch": 8.105715513536742, + "grad_norm": 1.2265625, + "learning_rate": 9.57459310682e-05, + "loss": 4.8587, + "mean_token_accuracy": 0.23592619597911835, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.759531688690186, + "epoch": 8.110012892135797, + "grad_norm": 1.2265625, + "learning_rate": 9.554517590817055e-05, + "loss": 4.9168, + "mean_token_accuracy": 0.22910912930965424, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.783081340789795, + "epoch": 8.114310270734851, + "grad_norm": 1.1953125, + "learning_rate": 9.534481260574944e-05, + "loss": 4.9094, + "mean_token_accuracy": 0.2321816936135292, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.742900657653808, + "epoch": 8.118607649333907, + "grad_norm": 1.25, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8874, + "mean_token_accuracy": 0.2349926143884659, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.771203088760376, + "epoch": 8.12290502793296, + "grad_norm": 1.3359375, + "learning_rate": 9.494526332292899e-05, + "loss": 4.9252, + "mean_token_accuracy": 0.23223545551300048, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.734961462020874, + "epoch": 8.127202406532016, + "grad_norm": 1.265625, + "learning_rate": 9.47460782149857e-05, + "loss": 4.9111, + "mean_token_accuracy": 0.2386125445365906, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.759470748901367, + "epoch": 8.13149978513107, + "grad_norm": 1.234375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.22731278389692305, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.70623517036438, + "epoch": 8.135797163730125, + "grad_norm": 1.2890625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24042012691497802, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.785218620300293, + "epoch": 8.140094542329178, + "grad_norm": 1.2421875, + "learning_rate": 9.415088624172997e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.23537793904542922, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.756191349029541, + "epoch": 8.144391920928234, + "grad_norm": 1.296875, + "learning_rate": 9.395327814490439e-05, + "loss": 4.931, + "mean_token_accuracy": 0.23400909453630447, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.731492424011231, + "epoch": 8.148689299527287, + "grad_norm": 1.3515625, + "learning_rate": 9.375606538175566e-05, + "loss": 4.8581, + "mean_token_accuracy": 0.24122172892093657, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.7561249256134035, + "epoch": 8.152986678126343, + "grad_norm": 1.2265625, + "learning_rate": 9.35592483829175e-05, + "loss": 4.9404, + "mean_token_accuracy": 0.23250404745340347, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.7169372081756595, + "epoch": 8.157284056725398, + "grad_norm": 1.3046875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.9114, + "mean_token_accuracy": 0.23848976343870162, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.70046215057373, + "epoch": 8.161581435324452, + "grad_norm": 1.3125, + "learning_rate": 9.316680339638664e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23490447849035262, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.563689900948121, + "eval_loss": 5.894437789916992, + "eval_mean_token_accuracy": 0.18221602075406024, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.101, + "eval_steps_per_second": 216.32, + "step": 9500 + }, + { + "entropy": 5.79104528427124, + "epoch": 8.165878813923507, + "grad_norm": 1.4140625, + "learning_rate": 9.297117626563687e-05, + "loss": 4.9393, + "mean_token_accuracy": 0.2395332857966423, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.732816505432129, + "epoch": 8.170176192522561, + "grad_norm": 1.2890625, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8743, + "mean_token_accuracy": 0.24095906615257262, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.6882086277008055, + "epoch": 8.174473571121617, + "grad_norm": 1.1796875, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.25059460252523424, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.7441253662109375, + "epoch": 8.17877094972067, + "grad_norm": 1.2421875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.8633, + "mean_token_accuracy": 0.23739856630563735, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.712777185440063, + "epoch": 8.183068328319726, + "grad_norm": 1.21875, + "learning_rate": 9.219264678327527e-05, + "loss": 4.8583, + "mean_token_accuracy": 0.24061242938041688, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.691803932189941, + "epoch": 8.18736570691878, + "grad_norm": 1.2890625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.8485, + "mean_token_accuracy": 0.24647330194711686, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.782800197601318, + "epoch": 8.191663085517835, + "grad_norm": 1.21875, + "learning_rate": 9.180577541342164e-05, + "loss": 4.964, + "mean_token_accuracy": 0.23249762654304504, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.714890718460083, + "epoch": 8.195960464116888, + "grad_norm": 1.328125, + "learning_rate": 9.161293955196648e-05, + "loss": 4.8682, + "mean_token_accuracy": 0.24433981478214264, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.783798694610596, + "epoch": 8.200257842715944, + "grad_norm": 1.328125, + "learning_rate": 9.142050413455214e-05, + "loss": 4.9286, + "mean_token_accuracy": 0.23019878268241883, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.750073575973511, + "epoch": 8.204555221314997, + "grad_norm": 1.2109375, + "learning_rate": 9.12284695813807e-05, + "loss": 4.9038, + "mean_token_accuracy": 0.24520579278469085, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.727174139022827, + "epoch": 8.208852599914053, + "grad_norm": 1.3359375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.8673, + "mean_token_accuracy": 0.24208441823720933, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.729988098144531, + "epoch": 8.213149978513107, + "grad_norm": 1.53125, + "learning_rate": 9.084560474419701e-05, + "loss": 4.8634, + "mean_token_accuracy": 0.2391197621822357, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.759287405014038, + "epoch": 8.217447357112162, + "grad_norm": 1.3671875, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8879, + "mean_token_accuracy": 0.23471090346574783, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.7283953666687015, + "epoch": 8.221744735711216, + "grad_norm": 1.3828125, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8983, + "mean_token_accuracy": 0.23679854422807695, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.797110462188721, + "epoch": 8.226042114310271, + "grad_norm": 1.375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9725, + "mean_token_accuracy": 0.22504952549934387, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.758984994888306, + "epoch": 8.230339492909325, + "grad_norm": 1.359375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9832, + "mean_token_accuracy": 0.23178735971450806, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.73343677520752, + "epoch": 8.23463687150838, + "grad_norm": 1.3671875, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.24406977444887162, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.700839996337891, + "epoch": 8.238934250107434, + "grad_norm": 1.3359375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.8358, + "mean_token_accuracy": 0.24239999651908875, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.75614857673645, + "epoch": 8.24323162870649, + "grad_norm": 1.25, + "learning_rate": 8.951826639309257e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23965495973825454, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.700466012954712, + "epoch": 8.247529007305543, + "grad_norm": 1.375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24223389178514482, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.698475551605225, + "epoch": 8.251826385904598, + "grad_norm": 1.359375, + "learning_rate": 8.914266583627684e-05, + "loss": 4.8291, + "mean_token_accuracy": 0.24232960790395736, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.786036348342895, + "epoch": 8.256123764503652, + "grad_norm": 1.4375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.905, + "mean_token_accuracy": 0.23367423713207244, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.71298189163208, + "epoch": 8.260421143102707, + "grad_norm": 1.296875, + "learning_rate": 8.876868863110013e-05, + "loss": 4.9215, + "mean_token_accuracy": 0.23382412493228913, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.784276628494263, + "epoch": 8.264718521701761, + "grad_norm": 1.234375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.8705, + "mean_token_accuracy": 0.23859835118055345, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.768792533874512, + "epoch": 8.269015900300817, + "grad_norm": 1.25, + "learning_rate": 8.839633804402747e-05, + "loss": 4.9358, + "mean_token_accuracy": 0.23131754696369172, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.767839860916138, + "epoch": 8.27331327889987, + "grad_norm": 1.4453125, + "learning_rate": 8.821077374916647e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.24630177915096282, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.680627489089966, + "epoch": 8.277610657498926, + "grad_norm": 1.375, + "learning_rate": 8.802561732731654e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.2398720934987068, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.7917811393737795, + "epoch": 8.281908036097981, + "grad_norm": 1.2265625, + "learning_rate": 8.784086918278534e-05, + "loss": 4.9316, + "mean_token_accuracy": 0.22891969829797745, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.692333650588989, + "epoch": 8.286205414697035, + "grad_norm": 1.2890625, + "learning_rate": 8.765652971898908e-05, + "loss": 4.8077, + "mean_token_accuracy": 0.24528621435165404, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.738155460357666, + "epoch": 8.29050279329609, + "grad_norm": 1.4140625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.9463, + "mean_token_accuracy": 0.24599668383598328, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.774512910842896, + "epoch": 8.294800171895144, + "grad_norm": 1.2265625, + "learning_rate": 8.728907844280254e-05, + "loss": 4.9443, + "mean_token_accuracy": 0.23179508298635482, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.730475330352784, + "epoch": 8.2990975504942, + "grad_norm": 1.421875, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8814, + "mean_token_accuracy": 0.2452605828642845, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.730258941650391, + "epoch": 8.303394929093253, + "grad_norm": 1.3671875, + "learning_rate": 8.692326670822207e-05, + "loss": 4.8157, + "mean_token_accuracy": 0.2448845013976097, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.740361738204956, + "epoch": 8.307692307692308, + "grad_norm": 1.2890625, + "learning_rate": 8.6740976668077e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.2443626791238785, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.683072328567505, + "epoch": 8.311989686291362, + "grad_norm": 1.4296875, + "learning_rate": 8.655909771039239e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.24255885183811188, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.764631128311157, + "epoch": 8.316287064890417, + "grad_norm": 1.5546875, + "learning_rate": 8.637763023231922e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.23544830977916717, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.629233980178833, + "epoch": 8.320584443489471, + "grad_norm": 1.3828125, + "learning_rate": 8.619657463010987e-05, + "loss": 4.7745, + "mean_token_accuracy": 0.24312002211809158, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.785550355911255, + "epoch": 8.324881822088527, + "grad_norm": 1.4296875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.9774, + "mean_token_accuracy": 0.23317618519067765, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.765936279296875, + "epoch": 8.32917920068758, + "grad_norm": 1.25, + "learning_rate": 8.583570063379487e-05, + "loss": 4.908, + "mean_token_accuracy": 0.24077682793140412, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.728990364074707, + "epoch": 8.333476579286636, + "grad_norm": 1.390625, + "learning_rate": 8.565588302769374e-05, + "loss": 4.848, + "mean_token_accuracy": 0.23626988530158996, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.673337030410766, + "epoch": 8.33777395788569, + "grad_norm": 1.3046875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.8609, + "mean_token_accuracy": 0.24892795085906982, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.765714406967163, + "epoch": 8.342071336484745, + "grad_norm": 1.2734375, + "learning_rate": 8.529748856285228e-05, + "loss": 4.8606, + "mean_token_accuracy": 0.2417272850871086, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.737577295303344, + "epoch": 8.346368715083798, + "grad_norm": 1.359375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.2430541396141052, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.78171010017395, + "epoch": 8.350666093682854, + "grad_norm": 1.4375, + "learning_rate": 8.494075103495245e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23714551329612732, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.782537889480591, + "epoch": 8.354963472281907, + "grad_norm": 1.3125, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8997, + "mean_token_accuracy": 0.22940298169851303, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.75561261177063, + "epoch": 8.359260850880963, + "grad_norm": 1.2890625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.9546, + "mean_token_accuracy": 0.22492529600858688, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.705477094650268, + "epoch": 8.363558229480017, + "grad_norm": 1.1171875, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8802, + "mean_token_accuracy": 0.2351899713277817, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.730382871627808, + "epoch": 8.367855608079072, + "grad_norm": 1.2578125, + "learning_rate": 8.423225923902608e-05, + "loss": 4.8545, + "mean_token_accuracy": 0.2428334668278694, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.678792095184326, + "epoch": 8.372152986678126, + "grad_norm": 1.3515625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.8015, + "mean_token_accuracy": 0.2536479622125626, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.7832560539245605, + "epoch": 8.376450365277181, + "grad_norm": 1.2265625, + "learning_rate": 8.388051115924781e-05, + "loss": 4.9787, + "mean_token_accuracy": 0.22999690473079681, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.733207416534424, + "epoch": 8.380747743876235, + "grad_norm": 1.328125, + "learning_rate": 8.370526292042774e-05, + "loss": 4.8385, + "mean_token_accuracy": 0.24650791734457017, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.665503215789795, + "epoch": 8.38504512247529, + "grad_norm": 1.5234375, + "learning_rate": 8.353043239285357e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.2454715371131897, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.736371994018555, + "epoch": 8.389342501074344, + "grad_norm": 1.4140625, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8971, + "mean_token_accuracy": 0.2377567008137703, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.739968490600586, + "epoch": 8.3936398796734, + "grad_norm": 1.2890625, + "learning_rate": 8.318202599757008e-05, + "loss": 4.9148, + "mean_token_accuracy": 0.23634277582168578, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.708938121795654, + "epoch": 8.397937258272453, + "grad_norm": 1.3671875, + "learning_rate": 8.30084508906411e-05, + "loss": 4.8183, + "mean_token_accuracy": 0.24032998383045195, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.693941688537597, + "epoch": 8.402234636871508, + "grad_norm": 1.3828125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8933, + "mean_token_accuracy": 0.2311558097600937, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.720448160171509, + "epoch": 8.406532015470564, + "grad_norm": 1.2734375, + "learning_rate": 8.266255875330095e-05, + "loss": 4.8376, + "mean_token_accuracy": 0.24367564618587495, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.707212591171265, + "epoch": 8.410829394069617, + "grad_norm": 1.359375, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8865, + "mean_token_accuracy": 0.23894913047552108, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.717279958724975, + "epoch": 8.415126772668673, + "grad_norm": 1.21875, + "learning_rate": 8.231834656742402e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2380632221698761, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.745273447036743, + "epoch": 8.419424151267727, + "grad_norm": 1.359375, + "learning_rate": 8.214687139638494e-05, + "loss": 4.9124, + "mean_token_accuracy": 0.24023134857416154, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.7758644104003904, + "epoch": 8.423721529866782, + "grad_norm": 1.453125, + "learning_rate": 8.197581733949597e-05, + "loss": 4.8666, + "mean_token_accuracy": 0.25315709263086317, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.774426078796386, + "epoch": 8.428018908465836, + "grad_norm": 1.4609375, + "learning_rate": 8.180518477027083e-05, + "loss": 4.8961, + "mean_token_accuracy": 0.23910606354475022, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.620084571838379, + "epoch": 8.432316287064891, + "grad_norm": 1.28125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.24886348992586135, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.8178997993469235, + "epoch": 8.436613665663945, + "grad_norm": 1.265625, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9902, + "mean_token_accuracy": 0.2252660185098648, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.741954326629639, + "epoch": 8.440911044263, + "grad_norm": 1.4140625, + "learning_rate": 8.129581970990507e-05, + "loss": 4.8553, + "mean_token_accuracy": 0.24823236614465713, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.732809400558471, + "epoch": 8.445208422862054, + "grad_norm": 1.4140625, + "learning_rate": 8.11268768080528e-05, + "loss": 4.8564, + "mean_token_accuracy": 0.23900128602981568, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.7832074642181395, + "epoch": 8.44950580146111, + "grad_norm": 1.4609375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.9673, + "mean_token_accuracy": 0.22997304052114487, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.718025875091553, + "epoch": 8.453803180060163, + "grad_norm": 1.46875, + "learning_rate": 8.079026139655946e-05, + "loss": 4.9255, + "mean_token_accuracy": 0.23200517892837524, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.685693693161011, + "epoch": 8.458100558659218, + "grad_norm": 1.296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.8057, + "mean_token_accuracy": 0.2456534430384636, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.726854228973389, + "epoch": 8.462397937258272, + "grad_norm": 1.46875, + "learning_rate": 8.04553422899167e-05, + "loss": 4.8925, + "mean_token_accuracy": 0.23469093143939973, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.708572816848755, + "epoch": 8.466695315857327, + "grad_norm": 1.2890625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.946, + "mean_token_accuracy": 0.23586695939302443, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.7173912525177, + "epoch": 8.470992694456381, + "grad_norm": 1.3125, + "learning_rate": 8.01221224134408e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.24219889491796492, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.743465614318848, + "epoch": 8.475290073055437, + "grad_norm": 1.3671875, + "learning_rate": 7.995615059661907e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.2368515193462372, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.759069204330444, + "epoch": 8.47958745165449, + "grad_norm": 1.3359375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.904, + "mean_token_accuracy": 0.24082816541194915, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.689574384689331, + "epoch": 8.483884830253546, + "grad_norm": 1.4375, + "learning_rate": 7.962548501788811e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.24400141090154648, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.72466893196106, + "epoch": 8.4881822088526, + "grad_norm": 1.390625, + "learning_rate": 7.946079197802028e-05, + "loss": 4.9225, + "mean_token_accuracy": 0.23353277146816254, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.713424777984619, + "epoch": 8.492479587451655, + "grad_norm": 1.5, + "learning_rate": 7.929652591762636e-05, + "loss": 4.911, + "mean_token_accuracy": 0.2364127442240715, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.730654716491699, + "epoch": 8.496776966050708, + "grad_norm": 1.4296875, + "learning_rate": 7.913268719539785e-05, + "loss": 4.9171, + "mean_token_accuracy": 0.2429963693022728, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.689770078659057, + "epoch": 8.501074344649764, + "grad_norm": 1.359375, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7824, + "mean_token_accuracy": 0.2481196016073227, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.751080274581909, + "epoch": 8.505371723248818, + "grad_norm": 1.25, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8956, + "mean_token_accuracy": 0.24801230430603027, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.73831958770752, + "epoch": 8.509669101847873, + "grad_norm": 1.296875, + "learning_rate": 7.864373863061717e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.24250307977199553, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.7382752895355225, + "epoch": 8.513966480446927, + "grad_norm": 1.4453125, + "learning_rate": 7.848161282929006e-05, + "loss": 4.8881, + "mean_token_accuracy": 0.2407060906291008, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.776788902282715, + "epoch": 8.518263859045982, + "grad_norm": 1.3671875, + "learning_rate": 7.831991614557274e-05, + "loss": 4.903, + "mean_token_accuracy": 0.23019613772630693, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.7528174877166744, + "epoch": 8.522561237645036, + "grad_norm": 1.359375, + "learning_rate": 7.815864893254619e-05, + "loss": 4.891, + "mean_token_accuracy": 0.2360119715332985, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.7316086769104, + "epoch": 8.526858616244091, + "grad_norm": 1.3203125, + "learning_rate": 7.799781154235361e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.24154060184955597, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.808560800552368, + "epoch": 8.531155994843147, + "grad_norm": 1.453125, + "learning_rate": 7.783740432619954e-05, + "loss": 4.9671, + "mean_token_accuracy": 0.22287265360355377, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.714200210571289, + "epoch": 8.5354533734422, + "grad_norm": 1.3828125, + "learning_rate": 7.767742763434922e-05, + "loss": 4.9079, + "mean_token_accuracy": 0.23346690237522125, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.666274166107177, + "epoch": 8.539750752041256, + "grad_norm": 1.28125, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24585407674312593, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.755437517166138, + "epoch": 8.54404813064031, + "grad_norm": 1.390625, + "learning_rate": 7.735876721991945e-05, + "loss": 4.9507, + "mean_token_accuracy": 0.23148660957813263, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.743089199066162, + "epoch": 8.548345509239365, + "grad_norm": 1.2265625, + "learning_rate": 7.720008419316708e-05, + "loss": 4.9242, + "mean_token_accuracy": 0.2357686460018158, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.700260353088379, + "epoch": 8.552642887838418, + "grad_norm": 1.2734375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.8213, + "mean_token_accuracy": 0.24597719609737395, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.662213611602783, + "epoch": 8.556940266437474, + "grad_norm": 1.2421875, + "learning_rate": 7.688401423308799e-05, + "loss": 4.8233, + "mean_token_accuracy": 0.2466511309146881, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.671461486816407, + "epoch": 8.561237645036528, + "grad_norm": 1.4296875, + "learning_rate": 7.672662798993174e-05, + "loss": 4.8247, + "mean_token_accuracy": 0.2511079117655754, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.7380656719207765, + "epoch": 8.565535023635583, + "grad_norm": 1.328125, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8936, + "mean_token_accuracy": 0.242263326048851, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.707980823516846, + "epoch": 8.569832402234637, + "grad_norm": 1.328125, + "learning_rate": 7.641315469572841e-05, + "loss": 4.8431, + "mean_token_accuracy": 0.24148163497447966, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.769561052322388, + "epoch": 8.574129780833692, + "grad_norm": 1.1953125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.24106623828411103, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.753009605407715, + "epoch": 8.578427159432746, + "grad_norm": 1.3359375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.996, + "mean_token_accuracy": 0.2327938124537468, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.748133611679077, + "epoch": 8.582724538031801, + "grad_norm": 1.3984375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.9078, + "mean_token_accuracy": 0.23580171167850494, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.725798463821411, + "epoch": 8.587021916630855, + "grad_norm": 1.4140625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.8523, + "mean_token_accuracy": 0.2376137688755989, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.7189679622650145, + "epoch": 8.59131929522991, + "grad_norm": 1.4765625, + "learning_rate": 7.563706600833737e-05, + "loss": 4.9063, + "mean_token_accuracy": 0.2349215939640999, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.534239016137682, + "eval_loss": 5.892942428588867, + "eval_mean_token_accuracy": 0.18259063309377377, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0512, + "eval_samples_per_second": 1730.231, + "eval_steps_per_second": 216.462, + "step": 10000 + }, + { + "entropy": 5.641706037521362, + "epoch": 8.595616673828964, + "grad_norm": 1.4921875, + "learning_rate": 7.548315290675886e-05, + "loss": 4.8364, + "mean_token_accuracy": 0.24370339065790175, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.677710723876953, + "epoch": 8.59991405242802, + "grad_norm": 1.265625, + "learning_rate": 7.532967547022825e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24187945276498796, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.703868246078491, + "epoch": 8.604211431027073, + "grad_norm": 1.4296875, + "learning_rate": 7.517663403387874e-05, + "loss": 4.9387, + "mean_token_accuracy": 0.24121222794055938, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.684072017669678, + "epoch": 8.608508809626128, + "grad_norm": 1.390625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.8142, + "mean_token_accuracy": 0.24965679943561553, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.795586156845093, + "epoch": 8.612806188225182, + "grad_norm": 1.2421875, + "learning_rate": 7.487186049749618e-05, + "loss": 4.94, + "mean_token_accuracy": 0.2302323043346405, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.720360326766968, + "epoch": 8.617103566824238, + "grad_norm": 1.296875, + "learning_rate": 7.472012906296658e-05, + "loss": 4.8775, + "mean_token_accuracy": 0.2409013941884041, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.712895488739013, + "epoch": 8.621400945423291, + "grad_norm": 1.140625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.8676, + "mean_token_accuracy": 0.24006159454584122, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.727213191986084, + "epoch": 8.625698324022347, + "grad_norm": 1.3515625, + "learning_rate": 7.441797851783402e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23364521861076354, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.717015218734741, + "epoch": 8.6299957026214, + "grad_norm": 1.3984375, + "learning_rate": 7.426756006700716e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.2373197704553604, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.744679689407349, + "epoch": 8.634293081220456, + "grad_norm": 1.5078125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.9657, + "mean_token_accuracy": 0.233807535469532, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.769802045822144, + "epoch": 8.63859045981951, + "grad_norm": 1.375, + "learning_rate": 7.396803845110032e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.24051254242658615, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.7355225563049315, + "epoch": 8.642887838418565, + "grad_norm": 1.34375, + "learning_rate": 7.381893594005585e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23913937211036682, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.714138078689575, + "epoch": 8.647185217017618, + "grad_norm": 1.359375, + "learning_rate": 7.367027272804387e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23634449243545533, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.708312606811523, + "epoch": 8.651482595616674, + "grad_norm": 1.3203125, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.2456353023648262, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.745303821563721, + "epoch": 8.65577997421573, + "grad_norm": 1.171875, + "learning_rate": 7.337426549864175e-05, + "loss": 4.9334, + "mean_token_accuracy": 0.2344992771744728, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.734985256195069, + "epoch": 8.660077352814783, + "grad_norm": 1.234375, + "learning_rate": 7.322692212761306e-05, + "loss": 4.9354, + "mean_token_accuracy": 0.2361741617321968, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.7485943794250485, + "epoch": 8.664374731413837, + "grad_norm": 1.40625, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8799, + "mean_token_accuracy": 0.23693183660507203, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.751676893234253, + "epoch": 8.668672110012892, + "grad_norm": 1.375, + "learning_rate": 7.29335574815948e-05, + "loss": 4.8746, + "mean_token_accuracy": 0.2360835403203964, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.717150449752808, + "epoch": 8.672969488611947, + "grad_norm": 1.2421875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8798, + "mean_token_accuracy": 0.23987387418746947, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.727327728271485, + "epoch": 8.677266867211001, + "grad_norm": 1.3828125, + "learning_rate": 7.264195776399386e-05, + "loss": 4.9107, + "mean_token_accuracy": 0.2364715039730072, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.72551212310791, + "epoch": 8.681564245810057, + "grad_norm": 1.359375, + "learning_rate": 7.249682054987381e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24308911412954332, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.7901074409484865, + "epoch": 8.68586162440911, + "grad_norm": 1.2734375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.9607, + "mean_token_accuracy": 0.22461001873016356, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.70100040435791, + "epoch": 8.690159003008166, + "grad_norm": 1.28125, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8989, + "mean_token_accuracy": 0.24264244586229325, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.7278729438781735, + "epoch": 8.69445638160722, + "grad_norm": 1.375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7711, + "mean_token_accuracy": 0.24757508635520936, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.711657571792602, + "epoch": 8.698753760206275, + "grad_norm": 1.328125, + "learning_rate": 7.192069670816359e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.23145184218883513, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.706142997741699, + "epoch": 8.703051138805328, + "grad_norm": 1.4921875, + "learning_rate": 7.177777357395912e-05, + "loss": 4.869, + "mean_token_accuracy": 0.24197168052196502, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.698826265335083, + "epoch": 8.707348517404384, + "grad_norm": 1.375, + "learning_rate": 7.163529419587002e-05, + "loss": 4.8753, + "mean_token_accuracy": 0.23961719274520873, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.773096561431885, + "epoch": 8.711645896003438, + "grad_norm": 1.328125, + "learning_rate": 7.149325888501418e-05, + "loss": 4.9558, + "mean_token_accuracy": 0.23473044633865356, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.736195468902588, + "epoch": 8.715943274602493, + "grad_norm": 1.234375, + "learning_rate": 7.135166795153992e-05, + "loss": 4.8505, + "mean_token_accuracy": 0.24684498012065886, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.727258586883545, + "epoch": 8.720240653201547, + "grad_norm": 1.359375, + "learning_rate": 7.121052170462541e-05, + "loss": 4.9381, + "mean_token_accuracy": 0.23492728620767594, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.653642177581787, + "epoch": 8.724538031800602, + "grad_norm": 1.4453125, + "learning_rate": 7.106982045247754e-05, + "loss": 4.7844, + "mean_token_accuracy": 0.2551065072417259, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.728663206100464, + "epoch": 8.728835410399656, + "grad_norm": 1.265625, + "learning_rate": 7.092956450233162e-05, + "loss": 4.9391, + "mean_token_accuracy": 0.24017365425825118, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.741170835494995, + "epoch": 8.733132788998711, + "grad_norm": 1.265625, + "learning_rate": 7.078975416045055e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.23747024983167647, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.669637441635132, + "epoch": 8.737430167597765, + "grad_norm": 1.53125, + "learning_rate": 7.065038973212424e-05, + "loss": 4.7584, + "mean_token_accuracy": 0.24721809923648835, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.723529863357544, + "epoch": 8.74172754619682, + "grad_norm": 1.4375, + "learning_rate": 7.051147152166896e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24353028535842897, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.661523246765137, + "epoch": 8.746024924795874, + "grad_norm": 1.140625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.8357, + "mean_token_accuracy": 0.246757473051548, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.713498783111572, + "epoch": 8.75032230339493, + "grad_norm": 1.3203125, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.23697651624679567, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.72203483581543, + "epoch": 8.754619681993983, + "grad_norm": 1.21875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.8597, + "mean_token_accuracy": 0.24536042660474777, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.74442343711853, + "epoch": 8.758917060593038, + "grad_norm": 1.265625, + "learning_rate": 6.996026691076531e-05, + "loss": 5.0015, + "mean_token_accuracy": 0.22911013662815094, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.722520256042481, + "epoch": 8.763214439192092, + "grad_norm": 1.2890625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24856774657964706, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.815678882598877, + "epoch": 8.767511817791148, + "grad_norm": 1.3515625, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.22747452706098556, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.694711017608642, + "epoch": 8.771809196390201, + "grad_norm": 1.34375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24590101689100266, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.781192684173584, + "epoch": 8.776106574989257, + "grad_norm": 1.359375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.951, + "mean_token_accuracy": 0.22873226106166838, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.702016830444336, + "epoch": 8.780403953588312, + "grad_norm": 1.3359375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.8938, + "mean_token_accuracy": 0.23844954818487168, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.728512763977051, + "epoch": 8.784701332187366, + "grad_norm": 1.359375, + "learning_rate": 6.914689765206899e-05, + "loss": 4.7987, + "mean_token_accuracy": 0.24630094319581985, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.751327037811279, + "epoch": 8.78899871078642, + "grad_norm": 1.421875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.8531, + "mean_token_accuracy": 0.24052831828594207, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.749263572692871, + "epoch": 8.793296089385475, + "grad_norm": 1.1640625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.9199, + "mean_token_accuracy": 0.23125884532928467, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.678548955917359, + "epoch": 8.79759346798453, + "grad_norm": 1.3046875, + "learning_rate": 6.874627729967086e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.24363392889499663, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.715464544296265, + "epoch": 8.801890846583584, + "grad_norm": 1.203125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23847707211971284, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.643958950042725, + "epoch": 8.80618822518264, + "grad_norm": 1.453125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24321892559528352, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.664030075073242, + "epoch": 8.810485603781693, + "grad_norm": 1.3984375, + "learning_rate": 6.834971032259537e-05, + "loss": 4.8397, + "mean_token_accuracy": 0.24072007983922958, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.690808057785034, + "epoch": 8.814782982380748, + "grad_norm": 1.390625, + "learning_rate": 6.821842342962786e-05, + "loss": 4.8475, + "mean_token_accuracy": 0.24447838515043258, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.677191877365113, + "epoch": 8.819080360979802, + "grad_norm": 1.359375, + "learning_rate": 6.808758806497375e-05, + "loss": 4.8447, + "mean_token_accuracy": 0.2524683356285095, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.745322799682617, + "epoch": 8.823377739578858, + "grad_norm": 1.375, + "learning_rate": 6.795720451432509e-05, + "loss": 4.8406, + "mean_token_accuracy": 0.24409451335668564, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.740674781799316, + "epoch": 8.827675118177911, + "grad_norm": 1.28125, + "learning_rate": 6.782727306238749e-05, + "loss": 4.9852, + "mean_token_accuracy": 0.22357712537050248, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.644893312454224, + "epoch": 8.831972496776967, + "grad_norm": 1.421875, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7822, + "mean_token_accuracy": 0.24160815626382828, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.71365647315979, + "epoch": 8.83626987537602, + "grad_norm": 1.3046875, + "learning_rate": 6.756876758853104e-05, + "loss": 4.8656, + "mean_token_accuracy": 0.2417924225330353, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.710398960113525, + "epoch": 8.840567253975076, + "grad_norm": 1.5546875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.8521, + "mean_token_accuracy": 0.2444690704345703, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.7455525398254395, + "epoch": 8.84486463257413, + "grad_norm": 1.3671875, + "learning_rate": 6.731207390129366e-05, + "loss": 4.9434, + "mean_token_accuracy": 0.23295524716377258, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.734651517868042, + "epoch": 8.849162011173185, + "grad_norm": 1.1875, + "learning_rate": 6.7184407178921e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23881399929523467, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.749492120742798, + "epoch": 8.853459389772238, + "grad_norm": 1.4453125, + "learning_rate": 6.70571942427399e-05, + "loss": 4.9559, + "mean_token_accuracy": 0.23205118924379348, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.75962724685669, + "epoch": 8.857756768371294, + "grad_norm": 1.3515625, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.23050196915864946, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.70353946685791, + "epoch": 8.862054146970348, + "grad_norm": 1.328125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.929, + "mean_token_accuracy": 0.23658778071403502, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.786187076568604, + "epoch": 8.866351525569403, + "grad_norm": 1.2421875, + "learning_rate": 6.667828092420977e-05, + "loss": 4.9266, + "mean_token_accuracy": 0.2431049346923828, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.698891353607178, + "epoch": 8.870648904168457, + "grad_norm": 1.2734375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.8974, + "mean_token_accuracy": 0.24344006329774856, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.65026216506958, + "epoch": 8.874946282767512, + "grad_norm": 1.2890625, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.2407523512840271, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.705488920211792, + "epoch": 8.879243661366566, + "grad_norm": 1.3046875, + "learning_rate": 6.630346162204069e-05, + "loss": 4.8524, + "mean_token_accuracy": 0.2402828097343445, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.685500717163086, + "epoch": 8.883541039965621, + "grad_norm": 1.484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.7906, + "mean_token_accuracy": 0.2516307681798935, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.78669924736023, + "epoch": 8.887838418564675, + "grad_norm": 1.515625, + "learning_rate": 6.605586018168558e-05, + "loss": 4.9008, + "mean_token_accuracy": 0.24112697392702104, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.7594961643219, + "epoch": 8.89213579716373, + "grad_norm": 1.25, + "learning_rate": 6.593274370232191e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23973492234945298, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.6986674785614015, + "epoch": 8.896433175762784, + "grad_norm": 1.265625, + "learning_rate": 6.581008374228255e-05, + "loss": 4.8829, + "mean_token_accuracy": 0.2380861073732376, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.688055086135864, + "epoch": 8.90073055436184, + "grad_norm": 1.3125, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8894, + "mean_token_accuracy": 0.239205239713192, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6841371059417725, + "epoch": 8.905027932960895, + "grad_norm": 1.28125, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7971, + "mean_token_accuracy": 0.24701832830905915, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.7468496799469, + "epoch": 8.909325311559948, + "grad_norm": 1.3046875, + "learning_rate": 6.544484565152577e-05, + "loss": 4.8709, + "mean_token_accuracy": 0.24514500945806503, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.707927703857422, + "epoch": 8.913622690159002, + "grad_norm": 1.484375, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8844, + "mean_token_accuracy": 0.24281774312257767, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.734713888168335, + "epoch": 8.917920068758058, + "grad_norm": 1.171875, + "learning_rate": 6.520364107143898e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.24035619348287582, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.757951641082764, + "epoch": 8.922217447357113, + "grad_norm": 1.3046875, + "learning_rate": 6.50837258170615e-05, + "loss": 4.914, + "mean_token_accuracy": 0.2439088225364685, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.776555347442627, + "epoch": 8.926514825956167, + "grad_norm": 1.2890625, + "learning_rate": 6.496426893592397e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.22435057163238525, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.771154832839966, + "epoch": 8.930812204555222, + "grad_norm": 1.421875, + "learning_rate": 6.484527068887258e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.22901748716831208, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.7181800365447994, + "epoch": 8.935109583154276, + "grad_norm": 1.4453125, + "learning_rate": 6.472673133575181e-05, + "loss": 4.8585, + "mean_token_accuracy": 0.23982157111167907, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.724564266204834, + "epoch": 8.939406961753331, + "grad_norm": 1.4140625, + "learning_rate": 6.460865113540437e-05, + "loss": 4.8424, + "mean_token_accuracy": 0.24264838844537734, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.750702953338623, + "epoch": 8.943704340352385, + "grad_norm": 1.34375, + "learning_rate": 6.449103034567011e-05, + "loss": 4.8413, + "mean_token_accuracy": 0.24670601040124893, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.744922637939453, + "epoch": 8.94800171895144, + "grad_norm": 1.375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.9222, + "mean_token_accuracy": 0.23244228661060334, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.760837602615356, + "epoch": 8.952299097550494, + "grad_norm": 1.359375, + "learning_rate": 6.425716802438479e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23593176901340485, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.6986171245574955, + "epoch": 8.95659647614955, + "grad_norm": 1.3984375, + "learning_rate": 6.414092700349548e-05, + "loss": 4.8862, + "mean_token_accuracy": 0.2431177631020546, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.7580320835113525, + "epoch": 8.960893854748603, + "grad_norm": 1.390625, + "learning_rate": 6.402514641454192e-05, + "loss": 4.9962, + "mean_token_accuracy": 0.22172346264123916, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.723747587203979, + "epoch": 8.965191233347658, + "grad_norm": 1.265625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8953, + "mean_token_accuracy": 0.23904290795326233, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.672523498535156, + "epoch": 8.969488611946712, + "grad_norm": 1.46875, + "learning_rate": 6.379496754271044e-05, + "loss": 4.7194, + "mean_token_accuracy": 0.26136820316314696, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.65635724067688, + "epoch": 8.973785990545768, + "grad_norm": 1.4375, + "learning_rate": 6.368056976245107e-05, + "loss": 4.7667, + "mean_token_accuracy": 0.25870931446552276, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.698014831542968, + "epoch": 8.978083369144821, + "grad_norm": 1.421875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.8663, + "mean_token_accuracy": 0.24248220026493073, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.697885036468506, + "epoch": 8.982380747743877, + "grad_norm": 1.3828125, + "learning_rate": 6.345315876223977e-05, + "loss": 4.8258, + "mean_token_accuracy": 0.24143291264772415, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.692233467102051, + "epoch": 8.98667812634293, + "grad_norm": 1.3359375, + "learning_rate": 6.334014603886256e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24324591606855392, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.684511327743531, + "epoch": 8.990975504941986, + "grad_norm": 1.4296875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24234582334756852, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.649232959747314, + "epoch": 8.99527288354104, + "grad_norm": 1.3671875, + "learning_rate": 6.311550737943753e-05, + "loss": 4.8331, + "mean_token_accuracy": 0.24488990157842636, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.7437886714935305, + "epoch": 8.999570262140095, + "grad_norm": 1.34375, + "learning_rate": 6.300388193391075e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2353186011314392, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.738433043162028, + "epoch": 9.003437902879243, + "grad_norm": 1.2734375, + "learning_rate": 6.289271940317174e-05, + "loss": 4.9605, + "mean_token_accuracy": 0.22919231487645042, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.701286554336548, + "epoch": 9.007735281478299, + "grad_norm": 1.328125, + "learning_rate": 6.278202002995497e-05, + "loss": 4.8759, + "mean_token_accuracy": 0.238884337246418, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.717434740066528, + "epoch": 9.012032660077352, + "grad_norm": 1.40625, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7925, + "mean_token_accuracy": 0.2569643914699554, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.755046939849853, + "epoch": 9.016330038676408, + "grad_norm": 1.3515625, + "learning_rate": 6.256201172196921e-05, + "loss": 4.8559, + "mean_token_accuracy": 0.2463230550289154, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.735121393203736, + "epoch": 9.020627417275461, + "grad_norm": 1.28125, + "learning_rate": 6.245270326761034e-05, + "loss": 4.8732, + "mean_token_accuracy": 0.23314425498247146, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.559686202723701, + "eval_loss": 5.891933917999268, + "eval_mean_token_accuracy": 0.18310657089894955, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0537, + "eval_samples_per_second": 1728.062, + "eval_steps_per_second": 216.19, + "step": 10500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4296982593761280.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-10500/training_args.bin b/checkpoint-10500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-10500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-11000/added_tokens.json b/checkpoint-11000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-11000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-11000/config.json b/checkpoint-11000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-11000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-11000/generation_config.json b/checkpoint-11000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-11000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-11000/model.safetensors b/checkpoint-11000/model.safetensors new file mode 100644 index 0000000..fc7969e --- /dev/null +++ b/checkpoint-11000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f378b702b119c74c737d1feac0f0b085b4e52e88c22cbc49429b84f2fb7a1314 +size 78179408 diff --git a/checkpoint-11000/rng_state.pth b/checkpoint-11000/rng_state.pth new file mode 100644 index 0000000..c089526 --- /dev/null +++ b/checkpoint-11000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88805fb939487e041e93aeb2a6a4368172006ff55ed8f20c040ab5b4160d328f +size 14645 diff --git a/checkpoint-11000/special_tokens_map.json b/checkpoint-11000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-11000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-11000/spiece.model b/checkpoint-11000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-11000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-11000/tokenizer_config.json b/checkpoint-11000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-11000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-11000/trainer_state.json b/checkpoint-11000/trainer_state.json new file mode 100644 index 0000000..8b21499 --- /dev/null +++ b/checkpoint-11000/trainer_state.json @@ -0,0 +1,22276 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.45036527718092, + "eval_steps": 500, + "global_step": 11000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + }, + { + "entropy": 5.66387529373169, + "epoch": 7.306832831972497, + "grad_norm": 1.203125, + "learning_rate": 0.00013938223617599124, + "loss": 4.9421, + "mean_token_accuracy": 0.23342001885175706, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.74355845451355, + "epoch": 7.311130210571552, + "grad_norm": 1.4375, + "learning_rate": 0.00013911708523901514, + "loss": 4.9755, + "mean_token_accuracy": 0.23636211156845094, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.763104438781738, + "epoch": 7.315427589170606, + "grad_norm": 1.2734375, + "learning_rate": 0.00013885223101601303, + "loss": 4.8955, + "mean_token_accuracy": 0.23637697100639343, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.71501669883728, + "epoch": 7.319724967769661, + "grad_norm": 1.265625, + "learning_rate": 0.00013858767408532051, + "loss": 4.8816, + "mean_token_accuracy": 0.24099365025758743, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.723988056182861, + "epoch": 7.324022346368715, + "grad_norm": 1.375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8774, + "mean_token_accuracy": 0.23590993583202363, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.737170457839966, + "epoch": 7.32831972496777, + "grad_norm": 1.46875, + "learning_rate": 0.00013805945441096057, + "loss": 4.9277, + "mean_token_accuracy": 0.23668332844972612, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.7540687084197994, + "epoch": 7.332617103566824, + "grad_norm": 1.375, + "learning_rate": 0.00013779579282071364, + "loss": 4.9306, + "mean_token_accuracy": 0.2349459186196327, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.676801681518555, + "epoch": 7.336914482165879, + "grad_norm": 1.28125, + "learning_rate": 0.00013753243082961512, + "loss": 4.8768, + "mean_token_accuracy": 0.24011008739471434, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.68070273399353, + "epoch": 7.3412118607649335, + "grad_norm": 1.328125, + "learning_rate": 0.00013726936901274246, + "loss": 4.8393, + "mean_token_accuracy": 0.24872156083583832, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.800928020477295, + "epoch": 7.345509239363988, + "grad_norm": 1.21875, + "learning_rate": 0.0001370066079445174, + "loss": 4.9704, + "mean_token_accuracy": 0.23076788932085038, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.79030556678772, + "epoch": 7.349806617963043, + "grad_norm": 1.2421875, + "learning_rate": 0.00013674414819870502, + "loss": 5.0745, + "mean_token_accuracy": 0.22369800060987471, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.730133438110352, + "epoch": 7.354103996562097, + "grad_norm": 1.3984375, + "learning_rate": 0.00013648199034841264, + "loss": 4.92, + "mean_token_accuracy": 0.2387056604027748, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.69276180267334, + "epoch": 7.358401375161152, + "grad_norm": 1.34375, + "learning_rate": 0.0001362201349660882, + "loss": 4.8912, + "mean_token_accuracy": 0.24466140568256378, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.666532707214356, + "epoch": 7.362698753760206, + "grad_norm": 1.3203125, + "learning_rate": 0.0001359585826235192, + "loss": 4.8956, + "mean_token_accuracy": 0.24125270992517472, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.799620962142944, + "epoch": 7.366996132359261, + "grad_norm": 1.3984375, + "learning_rate": 0.00013569733389183126, + "loss": 4.9952, + "mean_token_accuracy": 0.22822352200746537, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.758121490478516, + "epoch": 7.371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.00013543638934148736, + "loss": 4.9296, + "mean_token_accuracy": 0.23435905277729036, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.814731168746948, + "epoch": 7.37559088955737, + "grad_norm": 1.359375, + "learning_rate": 0.000135175749542286, + "loss": 4.9821, + "mean_token_accuracy": 0.22124236524105073, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.67050518989563, + "epoch": 7.379888268156424, + "grad_norm": 1.21875, + "learning_rate": 0.0001349154150633604, + "loss": 4.8697, + "mean_token_accuracy": 0.2459047943353653, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.741513633728028, + "epoch": 7.384185646755479, + "grad_norm": 1.2578125, + "learning_rate": 0.000134655386473177, + "loss": 5.0171, + "mean_token_accuracy": 0.22208292037248611, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.637994432449341, + "epoch": 7.3884830253545335, + "grad_norm": 1.4375, + "learning_rate": 0.00013439566433953427, + "loss": 4.892, + "mean_token_accuracy": 0.2412777841091156, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.720129156112671, + "epoch": 7.392780403953588, + "grad_norm": 1.3359375, + "learning_rate": 0.0001341362492295616, + "loss": 4.89, + "mean_token_accuracy": 0.2424454867839813, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.777584362030029, + "epoch": 7.397077782552643, + "grad_norm": 1.46875, + "learning_rate": 0.00013387714170971776, + "loss": 4.9287, + "mean_token_accuracy": 0.22944550216197968, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.785937261581421, + "epoch": 7.401375161151697, + "grad_norm": 1.265625, + "learning_rate": 0.00013361834234579012, + "loss": 5.0178, + "mean_token_accuracy": 0.22616576850414277, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.6717626571655275, + "epoch": 7.405672539750752, + "grad_norm": 1.3671875, + "learning_rate": 0.0001333598517028931, + "loss": 4.9006, + "mean_token_accuracy": 0.23272989243268966, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.688118124008179, + "epoch": 7.409969918349806, + "grad_norm": 1.3125, + "learning_rate": 0.00013310167034546688, + "loss": 4.887, + "mean_token_accuracy": 0.2374843627214432, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.749850463867188, + "epoch": 7.414267296948861, + "grad_norm": 1.3984375, + "learning_rate": 0.0001328437988372763, + "loss": 4.9595, + "mean_token_accuracy": 0.22750054448843002, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.756968069076538, + "epoch": 7.418564675547916, + "grad_norm": 1.3125, + "learning_rate": 0.00013258623774140967, + "loss": 4.9342, + "mean_token_accuracy": 0.2360052227973938, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.706060266494751, + "epoch": 7.422862054146971, + "grad_norm": 1.375, + "learning_rate": 0.00013232898762027766, + "loss": 4.8852, + "mean_token_accuracy": 0.2418963521718979, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.772034740447998, + "epoch": 7.427159432746025, + "grad_norm": 1.2734375, + "learning_rate": 0.00013207204903561154, + "loss": 4.978, + "mean_token_accuracy": 0.23209577053785324, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.702054405212403, + "epoch": 7.43145681134508, + "grad_norm": 1.234375, + "learning_rate": 0.00013181542254846247, + "loss": 4.8473, + "mean_token_accuracy": 0.2422897547483444, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.75566291809082, + "epoch": 7.435754189944134, + "grad_norm": 1.390625, + "learning_rate": 0.0001315591087192002, + "loss": 4.9831, + "mean_token_accuracy": 0.2323268622159958, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.655916357040406, + "epoch": 7.440051568543189, + "grad_norm": 1.234375, + "learning_rate": 0.00013130310810751162, + "loss": 4.8862, + "mean_token_accuracy": 0.23978102058172227, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.784155988693238, + "epoch": 7.4443489471422435, + "grad_norm": 1.3671875, + "learning_rate": 0.00013104742127239983, + "loss": 5.016, + "mean_token_accuracy": 0.22613199800252914, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.7693627834320065, + "epoch": 7.448646325741298, + "grad_norm": 1.1484375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9986, + "mean_token_accuracy": 0.22481437474489213, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.737584114074707, + "epoch": 7.452943704340353, + "grad_norm": 1.375, + "learning_rate": 0.00013053699116449144, + "loss": 4.9084, + "mean_token_accuracy": 0.22960878312587737, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.89331545829773, + "epoch": 7.457241082939407, + "grad_norm": 1.203125, + "learning_rate": 0.00013028224900627026, + "loss": 5.0301, + "mean_token_accuracy": 0.21912138164043427, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.803331756591797, + "epoch": 7.461538461538462, + "grad_norm": 1.0625, + "learning_rate": 0.00013002782285377395, + "loss": 4.9622, + "mean_token_accuracy": 0.2376553386449814, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.750441551208496, + "epoch": 7.465835840137516, + "grad_norm": 1.4375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9946, + "mean_token_accuracy": 0.2235792651772499, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.789198493957519, + "epoch": 7.470133218736571, + "grad_norm": 1.5, + "learning_rate": 0.00012951992078752528, + "loss": 4.9474, + "mean_token_accuracy": 0.2321646735072136, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.744178915023804, + "epoch": 7.474430597335625, + "grad_norm": 1.1953125, + "learning_rate": 0.00012926644598282798, + "loss": 4.9459, + "mean_token_accuracy": 0.22402314394712447, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.74596061706543, + "epoch": 7.47872797593468, + "grad_norm": 1.234375, + "learning_rate": 0.0001290132894019634, + "loss": 4.9661, + "mean_token_accuracy": 0.23607563078403473, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.778988885879516, + "epoch": 7.483025354533734, + "grad_norm": 1.28125, + "learning_rate": 0.00012876045159772442, + "loss": 4.9489, + "mean_token_accuracy": 0.23937921822071076, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.773708295822144, + "epoch": 7.487322733132789, + "grad_norm": 1.3359375, + "learning_rate": 0.00012850793312220766, + "loss": 4.9283, + "mean_token_accuracy": 0.23426500260829924, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.674078750610351, + "epoch": 7.4916201117318435, + "grad_norm": 1.25, + "learning_rate": 0.00012825573452681266, + "loss": 4.8773, + "mean_token_accuracy": 0.24968714416027069, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.735969209671021, + "epoch": 7.495917490330898, + "grad_norm": 1.375, + "learning_rate": 0.00012800385636224017, + "loss": 4.9358, + "mean_token_accuracy": 0.23501814007759095, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.747404956817627, + "epoch": 7.500214868929953, + "grad_norm": 1.40625, + "learning_rate": 0.00012775229917849162, + "loss": 4.9054, + "mean_token_accuracy": 0.23629093021154404, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.761697673797608, + "epoch": 7.504512247529007, + "grad_norm": 1.234375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8979, + "mean_token_accuracy": 0.2428216427564621, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.700611209869384, + "epoch": 7.508809626128062, + "grad_norm": 1.171875, + "learning_rate": 0.00012725014994996534, + "loss": 4.9339, + "mean_token_accuracy": 0.24504542350769043, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.807457494735718, + "epoch": 7.513107004727116, + "grad_norm": 1.25, + "learning_rate": 0.00012699955900168075, + "loss": 4.9282, + "mean_token_accuracy": 0.229953795671463, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.729871797561645, + "epoch": 7.517404383326171, + "grad_norm": 1.3046875, + "learning_rate": 0.00012674929122720414, + "loss": 4.9777, + "mean_token_accuracy": 0.2232517972588539, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.635332775115967, + "epoch": 7.521701761925225, + "grad_norm": 1.2265625, + "learning_rate": 0.0001264993471730202, + "loss": 4.8575, + "mean_token_accuracy": 0.24274646639823913, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.737993383407593, + "epoch": 7.52599914052428, + "grad_norm": 1.3046875, + "learning_rate": 0.00012624972738490675, + "loss": 5.0013, + "mean_token_accuracy": 0.22250534743070602, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.810367679595947, + "epoch": 7.530296519123334, + "grad_norm": 1.21875, + "learning_rate": 0.00012600043240793368, + "loss": 4.9765, + "mean_token_accuracy": 0.2321833461523056, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.74908938407898, + "epoch": 7.534593897722389, + "grad_norm": 1.3671875, + "learning_rate": 0.00012575146278646175, + "loss": 4.8922, + "mean_token_accuracy": 0.23532313406467437, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.7044130802154545, + "epoch": 7.5388912763214435, + "grad_norm": 1.21875, + "learning_rate": 0.00012550281906414097, + "loss": 4.9005, + "mean_token_accuracy": 0.23530834317207336, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.754625558853149, + "epoch": 7.543188654920499, + "grad_norm": 1.234375, + "learning_rate": 0.00012525450178390972, + "loss": 4.9416, + "mean_token_accuracy": 0.2437831625342369, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.779452610015869, + "epoch": 7.547486033519553, + "grad_norm": 1.3046875, + "learning_rate": 0.0001250065114879939, + "loss": 4.9461, + "mean_token_accuracy": 0.23520458936691285, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.705014038085937, + "epoch": 7.551783412118608, + "grad_norm": 1.2890625, + "learning_rate": 0.00012475884871790505, + "loss": 4.8667, + "mean_token_accuracy": 0.2412562444806099, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.8083795547485355, + "epoch": 7.556080790717663, + "grad_norm": 1.296875, + "learning_rate": 0.00012451151401443982, + "loss": 5.0036, + "mean_token_accuracy": 0.22445941120386123, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.658902978897094, + "epoch": 7.560378169316717, + "grad_norm": 1.3046875, + "learning_rate": 0.00012426450791767815, + "loss": 4.8297, + "mean_token_accuracy": 0.24630579203367234, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.727620363235474, + "epoch": 7.564675547915772, + "grad_norm": 1.34375, + "learning_rate": 0.00012401783096698283, + "loss": 4.7861, + "mean_token_accuracy": 0.24524826556444168, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.739884567260742, + "epoch": 7.568972926514826, + "grad_norm": 1.203125, + "learning_rate": 0.00012377148370099764, + "loss": 4.9565, + "mean_token_accuracy": 0.22828071862459182, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.752638149261474, + "epoch": 7.573270305113881, + "grad_norm": 1.3046875, + "learning_rate": 0.00012352546665764642, + "loss": 4.9625, + "mean_token_accuracy": 0.22861632257699965, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.631821250915527, + "epoch": 7.577567683712935, + "grad_norm": 1.25, + "learning_rate": 0.00012327978037413219, + "loss": 4.8393, + "mean_token_accuracy": 0.2455634668469429, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.749710655212402, + "epoch": 7.58186506231199, + "grad_norm": 1.3828125, + "learning_rate": 0.00012303442538693564, + "loss": 4.9425, + "mean_token_accuracy": 0.23156363964080812, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.689564323425293, + "epoch": 7.586162440911044, + "grad_norm": 1.390625, + "learning_rate": 0.00012278940223181393, + "loss": 4.8338, + "mean_token_accuracy": 0.23270008265972136, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.725271081924438, + "epoch": 7.590459819510099, + "grad_norm": 1.25, + "learning_rate": 0.00012254471144379964, + "loss": 4.8128, + "mean_token_accuracy": 0.25256053656339644, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.727273273468017, + "epoch": 7.5947571981091535, + "grad_norm": 1.21875, + "learning_rate": 0.00012230035355719968, + "loss": 4.9651, + "mean_token_accuracy": 0.23480646908283234, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.772902631759644, + "epoch": 7.599054576708208, + "grad_norm": 1.2421875, + "learning_rate": 0.0001220563291055941, + "loss": 4.9437, + "mean_token_accuracy": 0.23261293321847915, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.765447664260864, + "epoch": 7.603351955307263, + "grad_norm": 1.3125, + "learning_rate": 0.0001218126386218347, + "loss": 4.9353, + "mean_token_accuracy": 0.23733194619417192, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.6730225563049315, + "epoch": 7.607649333906317, + "grad_norm": 1.3671875, + "learning_rate": 0.00012156928263804403, + "loss": 4.8637, + "mean_token_accuracy": 0.24171005487442015, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.743314933776856, + "epoch": 7.611946712505372, + "grad_norm": 1.421875, + "learning_rate": 0.0001213262616856144, + "loss": 5.0012, + "mean_token_accuracy": 0.2306993141770363, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.747490549087525, + "epoch": 7.616244091104426, + "grad_norm": 1.4453125, + "learning_rate": 0.00012108357629520635, + "loss": 4.9057, + "mean_token_accuracy": 0.2387942299246788, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.7210612297058105, + "epoch": 7.620541469703481, + "grad_norm": 1.34375, + "learning_rate": 0.00012084122699674785, + "loss": 4.8936, + "mean_token_accuracy": 0.23947659581899644, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.73658299446106, + "epoch": 7.624838848302535, + "grad_norm": 1.375, + "learning_rate": 0.00012059921431943278, + "loss": 4.943, + "mean_token_accuracy": 0.22805553525686265, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.778007841110229, + "epoch": 7.62913622690159, + "grad_norm": 1.4453125, + "learning_rate": 0.00012035753879172026, + "loss": 5.1314, + "mean_token_accuracy": 0.21736743450164794, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.67980465888977, + "epoch": 7.633433605500644, + "grad_norm": 1.375, + "learning_rate": 0.00012011620094133296, + "loss": 4.7809, + "mean_token_accuracy": 0.25052584558725355, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.683636951446533, + "epoch": 7.637730984099699, + "grad_norm": 1.2421875, + "learning_rate": 0.00011987520129525622, + "loss": 4.923, + "mean_token_accuracy": 0.2359049841761589, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.739316749572754, + "epoch": 7.6420283626987535, + "grad_norm": 1.46875, + "learning_rate": 0.000119634540379737, + "loss": 4.9459, + "mean_token_accuracy": 0.23375426828861237, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.769543027877807, + "epoch": 7.646325741297808, + "grad_norm": 1.3359375, + "learning_rate": 0.00011939421872028262, + "loss": 4.9518, + "mean_token_accuracy": 0.2293008342385292, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.688256788253784, + "epoch": 7.650623119896863, + "grad_norm": 1.296875, + "learning_rate": 0.00011915423684165948, + "loss": 4.8695, + "mean_token_accuracy": 0.2363400101661682, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.784082841873169, + "epoch": 7.654920498495917, + "grad_norm": 1.21875, + "learning_rate": 0.00011891459526789198, + "loss": 4.9513, + "mean_token_accuracy": 0.23087790459394456, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.750850200653076, + "epoch": 7.659217877094972, + "grad_norm": 1.2578125, + "learning_rate": 0.0001186752945222616, + "loss": 4.9408, + "mean_token_accuracy": 0.230193392932415, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.741831827163696, + "epoch": 7.663515255694026, + "grad_norm": 1.171875, + "learning_rate": 0.00011843633512730562, + "loss": 4.891, + "mean_token_accuracy": 0.23511849343776703, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.710381603240966, + "epoch": 7.667812634293082, + "grad_norm": 1.28125, + "learning_rate": 0.00011819771760481576, + "loss": 4.9056, + "mean_token_accuracy": 0.24004074782133103, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.659539985656738, + "epoch": 7.672110012892135, + "grad_norm": 1.3203125, + "learning_rate": 0.00011795944247583725, + "loss": 4.827, + "mean_token_accuracy": 0.2396245777606964, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.710673809051514, + "epoch": 7.676407391491191, + "grad_norm": 1.2265625, + "learning_rate": 0.00011772151026066789, + "loss": 4.8812, + "mean_token_accuracy": 0.23135425001382828, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.770887327194214, + "epoch": 7.680704770090245, + "grad_norm": 1.2421875, + "learning_rate": 0.00011748392147885642, + "loss": 5.0019, + "mean_token_accuracy": 0.22777645140886307, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.739024114608765, + "epoch": 7.6850021486893, + "grad_norm": 1.5390625, + "learning_rate": 0.00011724667664920177, + "loss": 4.9316, + "mean_token_accuracy": 0.23300305306911467, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.772635078430175, + "epoch": 7.689299527288354, + "grad_norm": 1.375, + "learning_rate": 0.00011700977628975183, + "loss": 5.0259, + "mean_token_accuracy": 0.22466233223676682, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.75628547668457, + "epoch": 7.693596905887409, + "grad_norm": 1.359375, + "learning_rate": 0.00011677322091780243, + "loss": 4.9441, + "mean_token_accuracy": 0.230313977599144, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.782389211654663, + "epoch": 7.6978942844864635, + "grad_norm": 1.3125, + "learning_rate": 0.0001165370110498958, + "loss": 4.9823, + "mean_token_accuracy": 0.22912768721580506, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.8072168827056885, + "epoch": 7.702191663085518, + "grad_norm": 1.3125, + "learning_rate": 0.00011630114720181989, + "loss": 4.9706, + "mean_token_accuracy": 0.2286185145378113, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.725326013565064, + "epoch": 7.706489041684573, + "grad_norm": 1.3046875, + "learning_rate": 0.00011606562988860711, + "loss": 4.9052, + "mean_token_accuracy": 0.23271812498569489, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.704691696166992, + "epoch": 7.710786420283627, + "grad_norm": 1.1796875, + "learning_rate": 0.0001158304596245332, + "loss": 4.8801, + "mean_token_accuracy": 0.23317846804857253, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.673254013061523, + "epoch": 7.715083798882682, + "grad_norm": 1.265625, + "learning_rate": 0.00011559563692311595, + "loss": 4.8871, + "mean_token_accuracy": 0.2425983503460884, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.715083312988281, + "epoch": 7.719381177481736, + "grad_norm": 1.25, + "learning_rate": 0.00011536116229711422, + "loss": 4.87, + "mean_token_accuracy": 0.23960913121700286, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.771728086471557, + "epoch": 7.723678556080791, + "grad_norm": 1.2734375, + "learning_rate": 0.000115127036258527, + "loss": 4.9468, + "mean_token_accuracy": 0.22923657298088074, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.707568883895874, + "epoch": 7.727975934679845, + "grad_norm": 1.375, + "learning_rate": 0.00011489325931859185, + "loss": 4.8257, + "mean_token_accuracy": 0.2456026166677475, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.703813886642456, + "epoch": 7.7322733132789, + "grad_norm": 1.2578125, + "learning_rate": 0.0001146598319877843, + "loss": 4.884, + "mean_token_accuracy": 0.2391938716173172, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.542284931685473, + "eval_loss": 5.893875598907471, + "eval_mean_token_accuracy": 0.18242550859445925, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0469, + "eval_samples_per_second": 1733.83, + "eval_steps_per_second": 216.912, + "step": 9000 + }, + { + "entropy": 5.730257511138916, + "epoch": 7.736570691877954, + "grad_norm": 1.40625, + "learning_rate": 0.00011442675477581621, + "loss": 4.946, + "mean_token_accuracy": 0.23982110470533372, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.769806432723999, + "epoch": 7.740868070477009, + "grad_norm": 1.2890625, + "learning_rate": 0.0001141940281916352, + "loss": 4.8663, + "mean_token_accuracy": 0.23052393943071364, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.7794060707092285, + "epoch": 7.7451654490760635, + "grad_norm": 1.2578125, + "learning_rate": 0.00011396165274342304, + "loss": 4.9934, + "mean_token_accuracy": 0.2219093069434166, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.702830696105957, + "epoch": 7.749462827675118, + "grad_norm": 1.2421875, + "learning_rate": 0.00011372962893859471, + "loss": 4.9375, + "mean_token_accuracy": 0.22916385978460313, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.685720300674438, + "epoch": 7.753760206274173, + "grad_norm": 1.28125, + "learning_rate": 0.00011349795728379759, + "loss": 4.9439, + "mean_token_accuracy": 0.2307956948876381, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.757158088684082, + "epoch": 7.758057584873227, + "grad_norm": 1.3046875, + "learning_rate": 0.00011326663828491, + "loss": 5.0021, + "mean_token_accuracy": 0.22755355685949324, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.731455373764038, + "epoch": 7.762354963472282, + "grad_norm": 1.4140625, + "learning_rate": 0.00011303567244704015, + "loss": 4.9722, + "mean_token_accuracy": 0.23510894626379014, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.787262058258056, + "epoch": 7.766652342071336, + "grad_norm": 1.296875, + "learning_rate": 0.00011280506027452502, + "loss": 5.0529, + "mean_token_accuracy": 0.21928364634513856, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.7590248584747314, + "epoch": 7.770949720670391, + "grad_norm": 1.3828125, + "learning_rate": 0.0001125748022709295, + "loss": 4.9702, + "mean_token_accuracy": 0.23275834918022156, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.787170457839966, + "epoch": 7.775247099269445, + "grad_norm": 1.2421875, + "learning_rate": 0.00011234489893904509, + "loss": 4.9795, + "mean_token_accuracy": 0.2291556641459465, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.732330751419068, + "epoch": 7.7795444778685, + "grad_norm": 1.3125, + "learning_rate": 0.00011211535078088869, + "loss": 4.8429, + "mean_token_accuracy": 0.24395294189453126, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.7382737159729, + "epoch": 7.783841856467554, + "grad_norm": 1.375, + "learning_rate": 0.00011188615829770171, + "loss": 4.9092, + "mean_token_accuracy": 0.23593527376651763, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.710181808471679, + "epoch": 7.788139235066609, + "grad_norm": 1.375, + "learning_rate": 0.00011165732198994905, + "loss": 4.9434, + "mean_token_accuracy": 0.23322095423936845, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.713530969619751, + "epoch": 7.792436613665664, + "grad_norm": 1.375, + "learning_rate": 0.00011142884235731756, + "loss": 4.9257, + "mean_token_accuracy": 0.23757666498422622, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.7721363544464115, + "epoch": 7.796733992264718, + "grad_norm": 1.5390625, + "learning_rate": 0.00011120071989871564, + "loss": 5.0154, + "mean_token_accuracy": 0.2297023668885231, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.661825942993164, + "epoch": 7.8010313708637735, + "grad_norm": 1.2109375, + "learning_rate": 0.00011097295511227134, + "loss": 4.8963, + "mean_token_accuracy": 0.2394334778189659, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.722220945358276, + "epoch": 7.805328749462827, + "grad_norm": 1.296875, + "learning_rate": 0.0001107455484953321, + "loss": 4.9024, + "mean_token_accuracy": 0.23700267672538758, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6848217964172365, + "epoch": 7.809626128061883, + "grad_norm": 1.34375, + "learning_rate": 0.00011051850054446306, + "loss": 4.9151, + "mean_token_accuracy": 0.23075505644083022, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.663630819320678, + "epoch": 7.813923506660937, + "grad_norm": 1.4375, + "learning_rate": 0.00011029181175544603, + "loss": 4.8506, + "mean_token_accuracy": 0.2431934058666229, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.792266893386841, + "epoch": 7.818220885259992, + "grad_norm": 1.4140625, + "learning_rate": 0.00011006548262327884, + "loss": 5.0166, + "mean_token_accuracy": 0.23040284514427184, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.806525135040284, + "epoch": 7.822518263859046, + "grad_norm": 1.2890625, + "learning_rate": 0.0001098395136421739, + "loss": 4.9812, + "mean_token_accuracy": 0.22473449409008026, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.760424566268921, + "epoch": 7.826815642458101, + "grad_norm": 1.1875, + "learning_rate": 0.00010961390530555712, + "loss": 4.9704, + "mean_token_accuracy": 0.22575420886278152, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.756677484512329, + "epoch": 7.831113021057155, + "grad_norm": 1.265625, + "learning_rate": 0.00010938865810606682, + "loss": 4.9295, + "mean_token_accuracy": 0.23352717459201813, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.738250303268432, + "epoch": 7.83541039965621, + "grad_norm": 1.1875, + "learning_rate": 0.00010916377253555293, + "loss": 4.9336, + "mean_token_accuracy": 0.22934698015451432, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.708257818222046, + "epoch": 7.839707778255264, + "grad_norm": 1.328125, + "learning_rate": 0.00010893924908507573, + "loss": 4.8916, + "mean_token_accuracy": 0.2412150412797928, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7717221736907955, + "epoch": 7.844005156854319, + "grad_norm": 1.390625, + "learning_rate": 0.0001087150882449046, + "loss": 4.9687, + "mean_token_accuracy": 0.23071876615285875, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.744738292694092, + "epoch": 7.8483025354533735, + "grad_norm": 1.265625, + "learning_rate": 0.00010849129050451717, + "loss": 4.9183, + "mean_token_accuracy": 0.23448994606733323, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.703471088409424, + "epoch": 7.852599914052428, + "grad_norm": 1.234375, + "learning_rate": 0.00010826785635259842, + "loss": 4.8756, + "mean_token_accuracy": 0.23654707819223403, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.713053512573242, + "epoch": 7.856897292651483, + "grad_norm": 1.4765625, + "learning_rate": 0.00010804478627703903, + "loss": 4.8403, + "mean_token_accuracy": 0.2534535199403763, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.770458030700683, + "epoch": 7.861194671250537, + "grad_norm": 1.6015625, + "learning_rate": 0.00010782208076493508, + "loss": 4.9587, + "mean_token_accuracy": 0.23223767578601837, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.747208118438721, + "epoch": 7.865492049849592, + "grad_norm": 1.3359375, + "learning_rate": 0.00010759974030258621, + "loss": 4.9428, + "mean_token_accuracy": 0.2311663582921028, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.7243444442749025, + "epoch": 7.869789428448646, + "grad_norm": 1.1796875, + "learning_rate": 0.00010737776537549531, + "loss": 4.9326, + "mean_token_accuracy": 0.24079572409391403, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.710455989837646, + "epoch": 7.874086807047701, + "grad_norm": 1.3515625, + "learning_rate": 0.00010715615646836679, + "loss": 4.8984, + "mean_token_accuracy": 0.23725621849298478, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.641438770294189, + "epoch": 7.878384185646755, + "grad_norm": 1.21875, + "learning_rate": 0.00010693491406510585, + "loss": 4.8848, + "mean_token_accuracy": 0.2445200726389885, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.747666835784912, + "epoch": 7.88268156424581, + "grad_norm": 1.328125, + "learning_rate": 0.00010671403864881757, + "loss": 4.9711, + "mean_token_accuracy": 0.2317958801984787, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.759106779098511, + "epoch": 7.8869789428448644, + "grad_norm": 1.2421875, + "learning_rate": 0.00010649353070180562, + "loss": 4.9623, + "mean_token_accuracy": 0.2380196452140808, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.734574794769287, + "epoch": 7.891276321443919, + "grad_norm": 1.296875, + "learning_rate": 0.00010627339070557118, + "loss": 4.9401, + "mean_token_accuracy": 0.24096089154481887, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.685746860504151, + "epoch": 7.8955737000429735, + "grad_norm": 1.2734375, + "learning_rate": 0.00010605361914081194, + "loss": 4.854, + "mean_token_accuracy": 0.24479493349790574, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.758388519287109, + "epoch": 7.899871078642028, + "grad_norm": 1.1640625, + "learning_rate": 0.00010583421648742125, + "loss": 4.8878, + "mean_token_accuracy": 0.24218843132257462, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.73368878364563, + "epoch": 7.904168457241083, + "grad_norm": 1.34375, + "learning_rate": 0.00010561518322448673, + "loss": 4.993, + "mean_token_accuracy": 0.22797715663909912, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.702595281600952, + "epoch": 7.908465835840137, + "grad_norm": 1.4140625, + "learning_rate": 0.00010539651983028955, + "loss": 4.868, + "mean_token_accuracy": 0.2413019374012947, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.685127592086792, + "epoch": 7.912763214439192, + "grad_norm": 1.3671875, + "learning_rate": 0.0001051782267823031, + "loss": 4.8558, + "mean_token_accuracy": 0.24108621031045913, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.721054267883301, + "epoch": 7.917060593038247, + "grad_norm": 1.3515625, + "learning_rate": 0.00010496030455719225, + "loss": 4.9251, + "mean_token_accuracy": 0.23336865305900573, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.724647521972656, + "epoch": 7.921357971637301, + "grad_norm": 1.34375, + "learning_rate": 0.00010474275363081193, + "loss": 4.9328, + "mean_token_accuracy": 0.23269153237342835, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.702741193771362, + "epoch": 7.925655350236356, + "grad_norm": 1.375, + "learning_rate": 0.0001045255744782064, + "loss": 4.9025, + "mean_token_accuracy": 0.24020729959011078, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.816455984115601, + "epoch": 7.92995272883541, + "grad_norm": 1.28125, + "learning_rate": 0.00010430876757360817, + "loss": 4.9837, + "mean_token_accuracy": 0.22814977616071702, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.668118476867676, + "epoch": 7.934250107434465, + "grad_norm": 1.359375, + "learning_rate": 0.00010409233339043694, + "loss": 4.8047, + "mean_token_accuracy": 0.24403645545244218, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.670865440368653, + "epoch": 7.93854748603352, + "grad_norm": 1.3359375, + "learning_rate": 0.00010387627240129838, + "loss": 4.8691, + "mean_token_accuracy": 0.23790572285652162, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.739948797225952, + "epoch": 7.942844864632574, + "grad_norm": 1.1953125, + "learning_rate": 0.00010366058507798326, + "loss": 4.9214, + "mean_token_accuracy": 0.2339615508913994, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.705602979660034, + "epoch": 7.947142243231629, + "grad_norm": 1.296875, + "learning_rate": 0.00010344527189146655, + "loss": 4.9528, + "mean_token_accuracy": 0.2274705156683922, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.739188241958618, + "epoch": 7.9514396218306835, + "grad_norm": 1.1875, + "learning_rate": 0.00010323033331190626, + "loss": 4.9274, + "mean_token_accuracy": 0.23373161852359772, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.76418023109436, + "epoch": 7.955737000429738, + "grad_norm": 1.3125, + "learning_rate": 0.00010301576980864228, + "loss": 4.8603, + "mean_token_accuracy": 0.2446628138422966, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.694305419921875, + "epoch": 7.960034379028793, + "grad_norm": 1.3671875, + "learning_rate": 0.00010280158185019547, + "loss": 4.9073, + "mean_token_accuracy": 0.24446062594652176, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.697159719467163, + "epoch": 7.964331757627847, + "grad_norm": 1.15625, + "learning_rate": 0.00010258776990426686, + "loss": 4.927, + "mean_token_accuracy": 0.24162409752607344, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.729753589630127, + "epoch": 7.968629136226902, + "grad_norm": 1.4375, + "learning_rate": 0.00010237433443773612, + "loss": 4.9118, + "mean_token_accuracy": 0.23850051164627076, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.655977869033814, + "epoch": 7.972926514825956, + "grad_norm": 1.203125, + "learning_rate": 0.00010216127591666115, + "loss": 4.9269, + "mean_token_accuracy": 0.24168841391801835, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.739932727813721, + "epoch": 7.977223893425011, + "grad_norm": 1.5234375, + "learning_rate": 0.00010194859480627648, + "loss": 4.9567, + "mean_token_accuracy": 0.2386748567223549, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.675134468078613, + "epoch": 7.981521272024065, + "grad_norm": 1.203125, + "learning_rate": 0.00010173629157099279, + "loss": 4.9575, + "mean_token_accuracy": 0.2281126633286476, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.714840936660766, + "epoch": 7.98581865062312, + "grad_norm": 1.15625, + "learning_rate": 0.00010152436667439537, + "loss": 4.9519, + "mean_token_accuracy": 0.23581907600164415, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.750794839859009, + "epoch": 7.9901160292221745, + "grad_norm": 1.3125, + "learning_rate": 0.00010131282057924345, + "loss": 4.888, + "mean_token_accuracy": 0.23815936595201492, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.780832004547119, + "epoch": 7.994413407821229, + "grad_norm": 1.25, + "learning_rate": 0.00010110165374746924, + "loss": 4.8951, + "mean_token_accuracy": 0.24371608346700668, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.744164609909058, + "epoch": 7.9987107864202835, + "grad_norm": 1.28125, + "learning_rate": 0.00010089086664017674, + "loss": 5.0412, + "mean_token_accuracy": 0.22926397770643234, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.742586241828071, + "epoch": 8.002578427159433, + "grad_norm": 1.296875, + "learning_rate": 0.00010068045971764067, + "loss": 4.8669, + "mean_token_accuracy": 0.240800850921207, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.752298831939697, + "epoch": 8.006875805758487, + "grad_norm": 1.3203125, + "learning_rate": 0.00010047043343930561, + "loss": 4.9556, + "mean_token_accuracy": 0.239510677754879, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.703397274017334, + "epoch": 8.011173184357542, + "grad_norm": 1.359375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7841, + "mean_token_accuracy": 0.2428373247385025, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.756609344482422, + "epoch": 8.015470562956596, + "grad_norm": 1.265625, + "learning_rate": 0.00010005152464886031, + "loss": 4.8276, + "mean_token_accuracy": 0.23863828033208848, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.721332359313965, + "epoch": 8.019767941555651, + "grad_norm": 1.21875, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2455083206295967, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.687017393112183, + "epoch": 8.024065320154705, + "grad_norm": 1.21875, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.2540111944079399, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.612176132202149, + "epoch": 8.02836269875376, + "grad_norm": 1.234375, + "learning_rate": 9.942602773296971e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.2532846137881279, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.7741395950317385, + "epoch": 8.032660077352816, + "grad_norm": 1.2578125, + "learning_rate": 9.921829492156223e-05, + "loss": 4.9684, + "mean_token_accuracy": 0.23141839802265168, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.75913782119751, + "epoch": 8.03695745595187, + "grad_norm": 1.5, + "learning_rate": 9.901094594713933e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23183894604444505, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.784180068969727, + "epoch": 8.041254834550925, + "grad_norm": 1.28125, + "learning_rate": 9.88039812624682e-05, + "loss": 4.9053, + "mean_token_accuracy": 0.23992706537246705, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.799221658706665, + "epoch": 8.045552213149978, + "grad_norm": 1.1328125, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2353417918086052, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.754740142822266, + "epoch": 8.049849591749034, + "grad_norm": 1.265625, + "learning_rate": 9.839120656925407e-05, + "loss": 4.9271, + "mean_token_accuracy": 0.2309979572892189, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.699716949462891, + "epoch": 8.054146970348087, + "grad_norm": 1.3046875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8744, + "mean_token_accuracy": 0.23718750476837158, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.7823670387268065, + "epoch": 8.058444348947143, + "grad_norm": 1.5, + "learning_rate": 9.797997444725745e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24111505299806596, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.69295825958252, + "epoch": 8.062741727546197, + "grad_norm": 1.28125, + "learning_rate": 9.77749379734506e-05, + "loss": 4.8774, + "mean_token_accuracy": 0.24546006321907043, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.734280729293824, + "epoch": 8.067039106145252, + "grad_norm": 1.3359375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23956651538610457, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.702370309829712, + "epoch": 8.071336484744306, + "grad_norm": 1.2734375, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.23692873120307922, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.742789077758789, + "epoch": 8.075633863343361, + "grad_norm": 1.265625, + "learning_rate": 9.716215227086997e-05, + "loss": 4.832, + "mean_token_accuracy": 0.24452268034219743, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.737786293029785, + "epoch": 8.079931241942415, + "grad_norm": 1.2421875, + "learning_rate": 9.695866642971098e-05, + "loss": 4.8761, + "mean_token_accuracy": 0.23521246314048766, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.735822296142578, + "epoch": 8.08422862054147, + "grad_norm": 1.3046875, + "learning_rate": 9.67555693596621e-05, + "loss": 4.922, + "mean_token_accuracy": 0.23624190241098403, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.697363328933716, + "epoch": 8.088525999140524, + "grad_norm": 1.2890625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24786596596240998, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.631302261352539, + "epoch": 8.09282337773958, + "grad_norm": 1.234375, + "learning_rate": 9.635054330597565e-05, + "loss": 4.7635, + "mean_token_accuracy": 0.2543473169207573, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.75023717880249, + "epoch": 8.097120756338633, + "grad_norm": 1.3515625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.24282941818237305, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.703547573089599, + "epoch": 8.101418134937688, + "grad_norm": 1.3359375, + "learning_rate": 9.594707764746881e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24557766914367676, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.64467306137085, + "epoch": 8.105715513536742, + "grad_norm": 1.2265625, + "learning_rate": 9.57459310682e-05, + "loss": 4.8587, + "mean_token_accuracy": 0.23592619597911835, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.759531688690186, + "epoch": 8.110012892135797, + "grad_norm": 1.2265625, + "learning_rate": 9.554517590817055e-05, + "loss": 4.9168, + "mean_token_accuracy": 0.22910912930965424, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.783081340789795, + "epoch": 8.114310270734851, + "grad_norm": 1.1953125, + "learning_rate": 9.534481260574944e-05, + "loss": 4.9094, + "mean_token_accuracy": 0.2321816936135292, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.742900657653808, + "epoch": 8.118607649333907, + "grad_norm": 1.25, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8874, + "mean_token_accuracy": 0.2349926143884659, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.771203088760376, + "epoch": 8.12290502793296, + "grad_norm": 1.3359375, + "learning_rate": 9.494526332292899e-05, + "loss": 4.9252, + "mean_token_accuracy": 0.23223545551300048, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.734961462020874, + "epoch": 8.127202406532016, + "grad_norm": 1.265625, + "learning_rate": 9.47460782149857e-05, + "loss": 4.9111, + "mean_token_accuracy": 0.2386125445365906, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.759470748901367, + "epoch": 8.13149978513107, + "grad_norm": 1.234375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.22731278389692305, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.70623517036438, + "epoch": 8.135797163730125, + "grad_norm": 1.2890625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24042012691497802, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.785218620300293, + "epoch": 8.140094542329178, + "grad_norm": 1.2421875, + "learning_rate": 9.415088624172997e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.23537793904542922, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.756191349029541, + "epoch": 8.144391920928234, + "grad_norm": 1.296875, + "learning_rate": 9.395327814490439e-05, + "loss": 4.931, + "mean_token_accuracy": 0.23400909453630447, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.731492424011231, + "epoch": 8.148689299527287, + "grad_norm": 1.3515625, + "learning_rate": 9.375606538175566e-05, + "loss": 4.8581, + "mean_token_accuracy": 0.24122172892093657, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.7561249256134035, + "epoch": 8.152986678126343, + "grad_norm": 1.2265625, + "learning_rate": 9.35592483829175e-05, + "loss": 4.9404, + "mean_token_accuracy": 0.23250404745340347, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.7169372081756595, + "epoch": 8.157284056725398, + "grad_norm": 1.3046875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.9114, + "mean_token_accuracy": 0.23848976343870162, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.70046215057373, + "epoch": 8.161581435324452, + "grad_norm": 1.3125, + "learning_rate": 9.316680339638664e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23490447849035262, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.563689900948121, + "eval_loss": 5.894437789916992, + "eval_mean_token_accuracy": 0.18221602075406024, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.101, + "eval_steps_per_second": 216.32, + "step": 9500 + }, + { + "entropy": 5.79104528427124, + "epoch": 8.165878813923507, + "grad_norm": 1.4140625, + "learning_rate": 9.297117626563687e-05, + "loss": 4.9393, + "mean_token_accuracy": 0.2395332857966423, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.732816505432129, + "epoch": 8.170176192522561, + "grad_norm": 1.2890625, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8743, + "mean_token_accuracy": 0.24095906615257262, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.6882086277008055, + "epoch": 8.174473571121617, + "grad_norm": 1.1796875, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.25059460252523424, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.7441253662109375, + "epoch": 8.17877094972067, + "grad_norm": 1.2421875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.8633, + "mean_token_accuracy": 0.23739856630563735, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.712777185440063, + "epoch": 8.183068328319726, + "grad_norm": 1.21875, + "learning_rate": 9.219264678327527e-05, + "loss": 4.8583, + "mean_token_accuracy": 0.24061242938041688, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.691803932189941, + "epoch": 8.18736570691878, + "grad_norm": 1.2890625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.8485, + "mean_token_accuracy": 0.24647330194711686, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.782800197601318, + "epoch": 8.191663085517835, + "grad_norm": 1.21875, + "learning_rate": 9.180577541342164e-05, + "loss": 4.964, + "mean_token_accuracy": 0.23249762654304504, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.714890718460083, + "epoch": 8.195960464116888, + "grad_norm": 1.328125, + "learning_rate": 9.161293955196648e-05, + "loss": 4.8682, + "mean_token_accuracy": 0.24433981478214264, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.783798694610596, + "epoch": 8.200257842715944, + "grad_norm": 1.328125, + "learning_rate": 9.142050413455214e-05, + "loss": 4.9286, + "mean_token_accuracy": 0.23019878268241883, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.750073575973511, + "epoch": 8.204555221314997, + "grad_norm": 1.2109375, + "learning_rate": 9.12284695813807e-05, + "loss": 4.9038, + "mean_token_accuracy": 0.24520579278469085, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.727174139022827, + "epoch": 8.208852599914053, + "grad_norm": 1.3359375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.8673, + "mean_token_accuracy": 0.24208441823720933, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.729988098144531, + "epoch": 8.213149978513107, + "grad_norm": 1.53125, + "learning_rate": 9.084560474419701e-05, + "loss": 4.8634, + "mean_token_accuracy": 0.2391197621822357, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.759287405014038, + "epoch": 8.217447357112162, + "grad_norm": 1.3671875, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8879, + "mean_token_accuracy": 0.23471090346574783, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.7283953666687015, + "epoch": 8.221744735711216, + "grad_norm": 1.3828125, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8983, + "mean_token_accuracy": 0.23679854422807695, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.797110462188721, + "epoch": 8.226042114310271, + "grad_norm": 1.375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9725, + "mean_token_accuracy": 0.22504952549934387, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.758984994888306, + "epoch": 8.230339492909325, + "grad_norm": 1.359375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9832, + "mean_token_accuracy": 0.23178735971450806, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.73343677520752, + "epoch": 8.23463687150838, + "grad_norm": 1.3671875, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.24406977444887162, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.700839996337891, + "epoch": 8.238934250107434, + "grad_norm": 1.3359375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.8358, + "mean_token_accuracy": 0.24239999651908875, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.75614857673645, + "epoch": 8.24323162870649, + "grad_norm": 1.25, + "learning_rate": 8.951826639309257e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23965495973825454, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.700466012954712, + "epoch": 8.247529007305543, + "grad_norm": 1.375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24223389178514482, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.698475551605225, + "epoch": 8.251826385904598, + "grad_norm": 1.359375, + "learning_rate": 8.914266583627684e-05, + "loss": 4.8291, + "mean_token_accuracy": 0.24232960790395736, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.786036348342895, + "epoch": 8.256123764503652, + "grad_norm": 1.4375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.905, + "mean_token_accuracy": 0.23367423713207244, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.71298189163208, + "epoch": 8.260421143102707, + "grad_norm": 1.296875, + "learning_rate": 8.876868863110013e-05, + "loss": 4.9215, + "mean_token_accuracy": 0.23382412493228913, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.784276628494263, + "epoch": 8.264718521701761, + "grad_norm": 1.234375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.8705, + "mean_token_accuracy": 0.23859835118055345, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.768792533874512, + "epoch": 8.269015900300817, + "grad_norm": 1.25, + "learning_rate": 8.839633804402747e-05, + "loss": 4.9358, + "mean_token_accuracy": 0.23131754696369172, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.767839860916138, + "epoch": 8.27331327889987, + "grad_norm": 1.4453125, + "learning_rate": 8.821077374916647e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.24630177915096282, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.680627489089966, + "epoch": 8.277610657498926, + "grad_norm": 1.375, + "learning_rate": 8.802561732731654e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.2398720934987068, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.7917811393737795, + "epoch": 8.281908036097981, + "grad_norm": 1.2265625, + "learning_rate": 8.784086918278534e-05, + "loss": 4.9316, + "mean_token_accuracy": 0.22891969829797745, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.692333650588989, + "epoch": 8.286205414697035, + "grad_norm": 1.2890625, + "learning_rate": 8.765652971898908e-05, + "loss": 4.8077, + "mean_token_accuracy": 0.24528621435165404, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.738155460357666, + "epoch": 8.29050279329609, + "grad_norm": 1.4140625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.9463, + "mean_token_accuracy": 0.24599668383598328, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.774512910842896, + "epoch": 8.294800171895144, + "grad_norm": 1.2265625, + "learning_rate": 8.728907844280254e-05, + "loss": 4.9443, + "mean_token_accuracy": 0.23179508298635482, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.730475330352784, + "epoch": 8.2990975504942, + "grad_norm": 1.421875, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8814, + "mean_token_accuracy": 0.2452605828642845, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.730258941650391, + "epoch": 8.303394929093253, + "grad_norm": 1.3671875, + "learning_rate": 8.692326670822207e-05, + "loss": 4.8157, + "mean_token_accuracy": 0.2448845013976097, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.740361738204956, + "epoch": 8.307692307692308, + "grad_norm": 1.2890625, + "learning_rate": 8.6740976668077e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.2443626791238785, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.683072328567505, + "epoch": 8.311989686291362, + "grad_norm": 1.4296875, + "learning_rate": 8.655909771039239e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.24255885183811188, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.764631128311157, + "epoch": 8.316287064890417, + "grad_norm": 1.5546875, + "learning_rate": 8.637763023231922e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.23544830977916717, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.629233980178833, + "epoch": 8.320584443489471, + "grad_norm": 1.3828125, + "learning_rate": 8.619657463010987e-05, + "loss": 4.7745, + "mean_token_accuracy": 0.24312002211809158, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.785550355911255, + "epoch": 8.324881822088527, + "grad_norm": 1.4296875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.9774, + "mean_token_accuracy": 0.23317618519067765, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.765936279296875, + "epoch": 8.32917920068758, + "grad_norm": 1.25, + "learning_rate": 8.583570063379487e-05, + "loss": 4.908, + "mean_token_accuracy": 0.24077682793140412, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.728990364074707, + "epoch": 8.333476579286636, + "grad_norm": 1.390625, + "learning_rate": 8.565588302769374e-05, + "loss": 4.848, + "mean_token_accuracy": 0.23626988530158996, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.673337030410766, + "epoch": 8.33777395788569, + "grad_norm": 1.3046875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.8609, + "mean_token_accuracy": 0.24892795085906982, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.765714406967163, + "epoch": 8.342071336484745, + "grad_norm": 1.2734375, + "learning_rate": 8.529748856285228e-05, + "loss": 4.8606, + "mean_token_accuracy": 0.2417272850871086, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.737577295303344, + "epoch": 8.346368715083798, + "grad_norm": 1.359375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.2430541396141052, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.78171010017395, + "epoch": 8.350666093682854, + "grad_norm": 1.4375, + "learning_rate": 8.494075103495245e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23714551329612732, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.782537889480591, + "epoch": 8.354963472281907, + "grad_norm": 1.3125, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8997, + "mean_token_accuracy": 0.22940298169851303, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.75561261177063, + "epoch": 8.359260850880963, + "grad_norm": 1.2890625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.9546, + "mean_token_accuracy": 0.22492529600858688, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.705477094650268, + "epoch": 8.363558229480017, + "grad_norm": 1.1171875, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8802, + "mean_token_accuracy": 0.2351899713277817, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.730382871627808, + "epoch": 8.367855608079072, + "grad_norm": 1.2578125, + "learning_rate": 8.423225923902608e-05, + "loss": 4.8545, + "mean_token_accuracy": 0.2428334668278694, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.678792095184326, + "epoch": 8.372152986678126, + "grad_norm": 1.3515625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.8015, + "mean_token_accuracy": 0.2536479622125626, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.7832560539245605, + "epoch": 8.376450365277181, + "grad_norm": 1.2265625, + "learning_rate": 8.388051115924781e-05, + "loss": 4.9787, + "mean_token_accuracy": 0.22999690473079681, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.733207416534424, + "epoch": 8.380747743876235, + "grad_norm": 1.328125, + "learning_rate": 8.370526292042774e-05, + "loss": 4.8385, + "mean_token_accuracy": 0.24650791734457017, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.665503215789795, + "epoch": 8.38504512247529, + "grad_norm": 1.5234375, + "learning_rate": 8.353043239285357e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.2454715371131897, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.736371994018555, + "epoch": 8.389342501074344, + "grad_norm": 1.4140625, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8971, + "mean_token_accuracy": 0.2377567008137703, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.739968490600586, + "epoch": 8.3936398796734, + "grad_norm": 1.2890625, + "learning_rate": 8.318202599757008e-05, + "loss": 4.9148, + "mean_token_accuracy": 0.23634277582168578, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.708938121795654, + "epoch": 8.397937258272453, + "grad_norm": 1.3671875, + "learning_rate": 8.30084508906411e-05, + "loss": 4.8183, + "mean_token_accuracy": 0.24032998383045195, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.693941688537597, + "epoch": 8.402234636871508, + "grad_norm": 1.3828125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8933, + "mean_token_accuracy": 0.2311558097600937, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.720448160171509, + "epoch": 8.406532015470564, + "grad_norm": 1.2734375, + "learning_rate": 8.266255875330095e-05, + "loss": 4.8376, + "mean_token_accuracy": 0.24367564618587495, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.707212591171265, + "epoch": 8.410829394069617, + "grad_norm": 1.359375, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8865, + "mean_token_accuracy": 0.23894913047552108, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.717279958724975, + "epoch": 8.415126772668673, + "grad_norm": 1.21875, + "learning_rate": 8.231834656742402e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2380632221698761, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.745273447036743, + "epoch": 8.419424151267727, + "grad_norm": 1.359375, + "learning_rate": 8.214687139638494e-05, + "loss": 4.9124, + "mean_token_accuracy": 0.24023134857416154, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.7758644104003904, + "epoch": 8.423721529866782, + "grad_norm": 1.453125, + "learning_rate": 8.197581733949597e-05, + "loss": 4.8666, + "mean_token_accuracy": 0.25315709263086317, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.774426078796386, + "epoch": 8.428018908465836, + "grad_norm": 1.4609375, + "learning_rate": 8.180518477027083e-05, + "loss": 4.8961, + "mean_token_accuracy": 0.23910606354475022, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.620084571838379, + "epoch": 8.432316287064891, + "grad_norm": 1.28125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.24886348992586135, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.8178997993469235, + "epoch": 8.436613665663945, + "grad_norm": 1.265625, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9902, + "mean_token_accuracy": 0.2252660185098648, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.741954326629639, + "epoch": 8.440911044263, + "grad_norm": 1.4140625, + "learning_rate": 8.129581970990507e-05, + "loss": 4.8553, + "mean_token_accuracy": 0.24823236614465713, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.732809400558471, + "epoch": 8.445208422862054, + "grad_norm": 1.4140625, + "learning_rate": 8.11268768080528e-05, + "loss": 4.8564, + "mean_token_accuracy": 0.23900128602981568, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.7832074642181395, + "epoch": 8.44950580146111, + "grad_norm": 1.4609375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.9673, + "mean_token_accuracy": 0.22997304052114487, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.718025875091553, + "epoch": 8.453803180060163, + "grad_norm": 1.46875, + "learning_rate": 8.079026139655946e-05, + "loss": 4.9255, + "mean_token_accuracy": 0.23200517892837524, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.685693693161011, + "epoch": 8.458100558659218, + "grad_norm": 1.296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.8057, + "mean_token_accuracy": 0.2456534430384636, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.726854228973389, + "epoch": 8.462397937258272, + "grad_norm": 1.46875, + "learning_rate": 8.04553422899167e-05, + "loss": 4.8925, + "mean_token_accuracy": 0.23469093143939973, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.708572816848755, + "epoch": 8.466695315857327, + "grad_norm": 1.2890625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.946, + "mean_token_accuracy": 0.23586695939302443, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.7173912525177, + "epoch": 8.470992694456381, + "grad_norm": 1.3125, + "learning_rate": 8.01221224134408e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.24219889491796492, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.743465614318848, + "epoch": 8.475290073055437, + "grad_norm": 1.3671875, + "learning_rate": 7.995615059661907e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.2368515193462372, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.759069204330444, + "epoch": 8.47958745165449, + "grad_norm": 1.3359375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.904, + "mean_token_accuracy": 0.24082816541194915, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.689574384689331, + "epoch": 8.483884830253546, + "grad_norm": 1.4375, + "learning_rate": 7.962548501788811e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.24400141090154648, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.72466893196106, + "epoch": 8.4881822088526, + "grad_norm": 1.390625, + "learning_rate": 7.946079197802028e-05, + "loss": 4.9225, + "mean_token_accuracy": 0.23353277146816254, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.713424777984619, + "epoch": 8.492479587451655, + "grad_norm": 1.5, + "learning_rate": 7.929652591762636e-05, + "loss": 4.911, + "mean_token_accuracy": 0.2364127442240715, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.730654716491699, + "epoch": 8.496776966050708, + "grad_norm": 1.4296875, + "learning_rate": 7.913268719539785e-05, + "loss": 4.9171, + "mean_token_accuracy": 0.2429963693022728, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.689770078659057, + "epoch": 8.501074344649764, + "grad_norm": 1.359375, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7824, + "mean_token_accuracy": 0.2481196016073227, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.751080274581909, + "epoch": 8.505371723248818, + "grad_norm": 1.25, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8956, + "mean_token_accuracy": 0.24801230430603027, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.73831958770752, + "epoch": 8.509669101847873, + "grad_norm": 1.296875, + "learning_rate": 7.864373863061717e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.24250307977199553, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.7382752895355225, + "epoch": 8.513966480446927, + "grad_norm": 1.4453125, + "learning_rate": 7.848161282929006e-05, + "loss": 4.8881, + "mean_token_accuracy": 0.2407060906291008, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.776788902282715, + "epoch": 8.518263859045982, + "grad_norm": 1.3671875, + "learning_rate": 7.831991614557274e-05, + "loss": 4.903, + "mean_token_accuracy": 0.23019613772630693, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.7528174877166744, + "epoch": 8.522561237645036, + "grad_norm": 1.359375, + "learning_rate": 7.815864893254619e-05, + "loss": 4.891, + "mean_token_accuracy": 0.2360119715332985, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.7316086769104, + "epoch": 8.526858616244091, + "grad_norm": 1.3203125, + "learning_rate": 7.799781154235361e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.24154060184955597, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.808560800552368, + "epoch": 8.531155994843147, + "grad_norm": 1.453125, + "learning_rate": 7.783740432619954e-05, + "loss": 4.9671, + "mean_token_accuracy": 0.22287265360355377, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.714200210571289, + "epoch": 8.5354533734422, + "grad_norm": 1.3828125, + "learning_rate": 7.767742763434922e-05, + "loss": 4.9079, + "mean_token_accuracy": 0.23346690237522125, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.666274166107177, + "epoch": 8.539750752041256, + "grad_norm": 1.28125, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24585407674312593, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.755437517166138, + "epoch": 8.54404813064031, + "grad_norm": 1.390625, + "learning_rate": 7.735876721991945e-05, + "loss": 4.9507, + "mean_token_accuracy": 0.23148660957813263, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.743089199066162, + "epoch": 8.548345509239365, + "grad_norm": 1.2265625, + "learning_rate": 7.720008419316708e-05, + "loss": 4.9242, + "mean_token_accuracy": 0.2357686460018158, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.700260353088379, + "epoch": 8.552642887838418, + "grad_norm": 1.2734375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.8213, + "mean_token_accuracy": 0.24597719609737395, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.662213611602783, + "epoch": 8.556940266437474, + "grad_norm": 1.2421875, + "learning_rate": 7.688401423308799e-05, + "loss": 4.8233, + "mean_token_accuracy": 0.2466511309146881, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.671461486816407, + "epoch": 8.561237645036528, + "grad_norm": 1.4296875, + "learning_rate": 7.672662798993174e-05, + "loss": 4.8247, + "mean_token_accuracy": 0.2511079117655754, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.7380656719207765, + "epoch": 8.565535023635583, + "grad_norm": 1.328125, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8936, + "mean_token_accuracy": 0.242263326048851, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.707980823516846, + "epoch": 8.569832402234637, + "grad_norm": 1.328125, + "learning_rate": 7.641315469572841e-05, + "loss": 4.8431, + "mean_token_accuracy": 0.24148163497447966, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.769561052322388, + "epoch": 8.574129780833692, + "grad_norm": 1.1953125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.24106623828411103, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.753009605407715, + "epoch": 8.578427159432746, + "grad_norm": 1.3359375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.996, + "mean_token_accuracy": 0.2327938124537468, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.748133611679077, + "epoch": 8.582724538031801, + "grad_norm": 1.3984375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.9078, + "mean_token_accuracy": 0.23580171167850494, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.725798463821411, + "epoch": 8.587021916630855, + "grad_norm": 1.4140625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.8523, + "mean_token_accuracy": 0.2376137688755989, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.7189679622650145, + "epoch": 8.59131929522991, + "grad_norm": 1.4765625, + "learning_rate": 7.563706600833737e-05, + "loss": 4.9063, + "mean_token_accuracy": 0.2349215939640999, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.534239016137682, + "eval_loss": 5.892942428588867, + "eval_mean_token_accuracy": 0.18259063309377377, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0512, + "eval_samples_per_second": 1730.231, + "eval_steps_per_second": 216.462, + "step": 10000 + }, + { + "entropy": 5.641706037521362, + "epoch": 8.595616673828964, + "grad_norm": 1.4921875, + "learning_rate": 7.548315290675886e-05, + "loss": 4.8364, + "mean_token_accuracy": 0.24370339065790175, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.677710723876953, + "epoch": 8.59991405242802, + "grad_norm": 1.265625, + "learning_rate": 7.532967547022825e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24187945276498796, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.703868246078491, + "epoch": 8.604211431027073, + "grad_norm": 1.4296875, + "learning_rate": 7.517663403387874e-05, + "loss": 4.9387, + "mean_token_accuracy": 0.24121222794055938, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.684072017669678, + "epoch": 8.608508809626128, + "grad_norm": 1.390625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.8142, + "mean_token_accuracy": 0.24965679943561553, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.795586156845093, + "epoch": 8.612806188225182, + "grad_norm": 1.2421875, + "learning_rate": 7.487186049749618e-05, + "loss": 4.94, + "mean_token_accuracy": 0.2302323043346405, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.720360326766968, + "epoch": 8.617103566824238, + "grad_norm": 1.296875, + "learning_rate": 7.472012906296658e-05, + "loss": 4.8775, + "mean_token_accuracy": 0.2409013941884041, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.712895488739013, + "epoch": 8.621400945423291, + "grad_norm": 1.140625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.8676, + "mean_token_accuracy": 0.24006159454584122, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.727213191986084, + "epoch": 8.625698324022347, + "grad_norm": 1.3515625, + "learning_rate": 7.441797851783402e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23364521861076354, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.717015218734741, + "epoch": 8.6299957026214, + "grad_norm": 1.3984375, + "learning_rate": 7.426756006700716e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.2373197704553604, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.744679689407349, + "epoch": 8.634293081220456, + "grad_norm": 1.5078125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.9657, + "mean_token_accuracy": 0.233807535469532, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.769802045822144, + "epoch": 8.63859045981951, + "grad_norm": 1.375, + "learning_rate": 7.396803845110032e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.24051254242658615, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.7355225563049315, + "epoch": 8.642887838418565, + "grad_norm": 1.34375, + "learning_rate": 7.381893594005585e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23913937211036682, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.714138078689575, + "epoch": 8.647185217017618, + "grad_norm": 1.359375, + "learning_rate": 7.367027272804387e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23634449243545533, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.708312606811523, + "epoch": 8.651482595616674, + "grad_norm": 1.3203125, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.2456353023648262, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.745303821563721, + "epoch": 8.65577997421573, + "grad_norm": 1.171875, + "learning_rate": 7.337426549864175e-05, + "loss": 4.9334, + "mean_token_accuracy": 0.2344992771744728, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.734985256195069, + "epoch": 8.660077352814783, + "grad_norm": 1.234375, + "learning_rate": 7.322692212761306e-05, + "loss": 4.9354, + "mean_token_accuracy": 0.2361741617321968, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.7485943794250485, + "epoch": 8.664374731413837, + "grad_norm": 1.40625, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8799, + "mean_token_accuracy": 0.23693183660507203, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.751676893234253, + "epoch": 8.668672110012892, + "grad_norm": 1.375, + "learning_rate": 7.29335574815948e-05, + "loss": 4.8746, + "mean_token_accuracy": 0.2360835403203964, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.717150449752808, + "epoch": 8.672969488611947, + "grad_norm": 1.2421875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8798, + "mean_token_accuracy": 0.23987387418746947, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.727327728271485, + "epoch": 8.677266867211001, + "grad_norm": 1.3828125, + "learning_rate": 7.264195776399386e-05, + "loss": 4.9107, + "mean_token_accuracy": 0.2364715039730072, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.72551212310791, + "epoch": 8.681564245810057, + "grad_norm": 1.359375, + "learning_rate": 7.249682054987381e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24308911412954332, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.7901074409484865, + "epoch": 8.68586162440911, + "grad_norm": 1.2734375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.9607, + "mean_token_accuracy": 0.22461001873016356, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.70100040435791, + "epoch": 8.690159003008166, + "grad_norm": 1.28125, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8989, + "mean_token_accuracy": 0.24264244586229325, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.7278729438781735, + "epoch": 8.69445638160722, + "grad_norm": 1.375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7711, + "mean_token_accuracy": 0.24757508635520936, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.711657571792602, + "epoch": 8.698753760206275, + "grad_norm": 1.328125, + "learning_rate": 7.192069670816359e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.23145184218883513, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.706142997741699, + "epoch": 8.703051138805328, + "grad_norm": 1.4921875, + "learning_rate": 7.177777357395912e-05, + "loss": 4.869, + "mean_token_accuracy": 0.24197168052196502, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.698826265335083, + "epoch": 8.707348517404384, + "grad_norm": 1.375, + "learning_rate": 7.163529419587002e-05, + "loss": 4.8753, + "mean_token_accuracy": 0.23961719274520873, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.773096561431885, + "epoch": 8.711645896003438, + "grad_norm": 1.328125, + "learning_rate": 7.149325888501418e-05, + "loss": 4.9558, + "mean_token_accuracy": 0.23473044633865356, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.736195468902588, + "epoch": 8.715943274602493, + "grad_norm": 1.234375, + "learning_rate": 7.135166795153992e-05, + "loss": 4.8505, + "mean_token_accuracy": 0.24684498012065886, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.727258586883545, + "epoch": 8.720240653201547, + "grad_norm": 1.359375, + "learning_rate": 7.121052170462541e-05, + "loss": 4.9381, + "mean_token_accuracy": 0.23492728620767594, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.653642177581787, + "epoch": 8.724538031800602, + "grad_norm": 1.4453125, + "learning_rate": 7.106982045247754e-05, + "loss": 4.7844, + "mean_token_accuracy": 0.2551065072417259, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.728663206100464, + "epoch": 8.728835410399656, + "grad_norm": 1.265625, + "learning_rate": 7.092956450233162e-05, + "loss": 4.9391, + "mean_token_accuracy": 0.24017365425825118, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.741170835494995, + "epoch": 8.733132788998711, + "grad_norm": 1.265625, + "learning_rate": 7.078975416045055e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.23747024983167647, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.669637441635132, + "epoch": 8.737430167597765, + "grad_norm": 1.53125, + "learning_rate": 7.065038973212424e-05, + "loss": 4.7584, + "mean_token_accuracy": 0.24721809923648835, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.723529863357544, + "epoch": 8.74172754619682, + "grad_norm": 1.4375, + "learning_rate": 7.051147152166896e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24353028535842897, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.661523246765137, + "epoch": 8.746024924795874, + "grad_norm": 1.140625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.8357, + "mean_token_accuracy": 0.246757473051548, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.713498783111572, + "epoch": 8.75032230339493, + "grad_norm": 1.3203125, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.23697651624679567, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.72203483581543, + "epoch": 8.754619681993983, + "grad_norm": 1.21875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.8597, + "mean_token_accuracy": 0.24536042660474777, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.74442343711853, + "epoch": 8.758917060593038, + "grad_norm": 1.265625, + "learning_rate": 6.996026691076531e-05, + "loss": 5.0015, + "mean_token_accuracy": 0.22911013662815094, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.722520256042481, + "epoch": 8.763214439192092, + "grad_norm": 1.2890625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24856774657964706, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.815678882598877, + "epoch": 8.767511817791148, + "grad_norm": 1.3515625, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.22747452706098556, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.694711017608642, + "epoch": 8.771809196390201, + "grad_norm": 1.34375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24590101689100266, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.781192684173584, + "epoch": 8.776106574989257, + "grad_norm": 1.359375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.951, + "mean_token_accuracy": 0.22873226106166838, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.702016830444336, + "epoch": 8.780403953588312, + "grad_norm": 1.3359375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.8938, + "mean_token_accuracy": 0.23844954818487168, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.728512763977051, + "epoch": 8.784701332187366, + "grad_norm": 1.359375, + "learning_rate": 6.914689765206899e-05, + "loss": 4.7987, + "mean_token_accuracy": 0.24630094319581985, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.751327037811279, + "epoch": 8.78899871078642, + "grad_norm": 1.421875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.8531, + "mean_token_accuracy": 0.24052831828594207, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.749263572692871, + "epoch": 8.793296089385475, + "grad_norm": 1.1640625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.9199, + "mean_token_accuracy": 0.23125884532928467, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.678548955917359, + "epoch": 8.79759346798453, + "grad_norm": 1.3046875, + "learning_rate": 6.874627729967086e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.24363392889499663, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.715464544296265, + "epoch": 8.801890846583584, + "grad_norm": 1.203125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23847707211971284, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.643958950042725, + "epoch": 8.80618822518264, + "grad_norm": 1.453125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24321892559528352, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.664030075073242, + "epoch": 8.810485603781693, + "grad_norm": 1.3984375, + "learning_rate": 6.834971032259537e-05, + "loss": 4.8397, + "mean_token_accuracy": 0.24072007983922958, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.690808057785034, + "epoch": 8.814782982380748, + "grad_norm": 1.390625, + "learning_rate": 6.821842342962786e-05, + "loss": 4.8475, + "mean_token_accuracy": 0.24447838515043258, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.677191877365113, + "epoch": 8.819080360979802, + "grad_norm": 1.359375, + "learning_rate": 6.808758806497375e-05, + "loss": 4.8447, + "mean_token_accuracy": 0.2524683356285095, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.745322799682617, + "epoch": 8.823377739578858, + "grad_norm": 1.375, + "learning_rate": 6.795720451432509e-05, + "loss": 4.8406, + "mean_token_accuracy": 0.24409451335668564, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.740674781799316, + "epoch": 8.827675118177911, + "grad_norm": 1.28125, + "learning_rate": 6.782727306238749e-05, + "loss": 4.9852, + "mean_token_accuracy": 0.22357712537050248, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.644893312454224, + "epoch": 8.831972496776967, + "grad_norm": 1.421875, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7822, + "mean_token_accuracy": 0.24160815626382828, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.71365647315979, + "epoch": 8.83626987537602, + "grad_norm": 1.3046875, + "learning_rate": 6.756876758853104e-05, + "loss": 4.8656, + "mean_token_accuracy": 0.2417924225330353, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.710398960113525, + "epoch": 8.840567253975076, + "grad_norm": 1.5546875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.8521, + "mean_token_accuracy": 0.2444690704345703, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.7455525398254395, + "epoch": 8.84486463257413, + "grad_norm": 1.3671875, + "learning_rate": 6.731207390129366e-05, + "loss": 4.9434, + "mean_token_accuracy": 0.23295524716377258, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.734651517868042, + "epoch": 8.849162011173185, + "grad_norm": 1.1875, + "learning_rate": 6.7184407178921e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23881399929523467, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.749492120742798, + "epoch": 8.853459389772238, + "grad_norm": 1.4453125, + "learning_rate": 6.70571942427399e-05, + "loss": 4.9559, + "mean_token_accuracy": 0.23205118924379348, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.75962724685669, + "epoch": 8.857756768371294, + "grad_norm": 1.3515625, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.23050196915864946, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.70353946685791, + "epoch": 8.862054146970348, + "grad_norm": 1.328125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.929, + "mean_token_accuracy": 0.23658778071403502, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.786187076568604, + "epoch": 8.866351525569403, + "grad_norm": 1.2421875, + "learning_rate": 6.667828092420977e-05, + "loss": 4.9266, + "mean_token_accuracy": 0.2431049346923828, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.698891353607178, + "epoch": 8.870648904168457, + "grad_norm": 1.2734375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.8974, + "mean_token_accuracy": 0.24344006329774856, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.65026216506958, + "epoch": 8.874946282767512, + "grad_norm": 1.2890625, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.2407523512840271, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.705488920211792, + "epoch": 8.879243661366566, + "grad_norm": 1.3046875, + "learning_rate": 6.630346162204069e-05, + "loss": 4.8524, + "mean_token_accuracy": 0.2402828097343445, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.685500717163086, + "epoch": 8.883541039965621, + "grad_norm": 1.484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.7906, + "mean_token_accuracy": 0.2516307681798935, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.78669924736023, + "epoch": 8.887838418564675, + "grad_norm": 1.515625, + "learning_rate": 6.605586018168558e-05, + "loss": 4.9008, + "mean_token_accuracy": 0.24112697392702104, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.7594961643219, + "epoch": 8.89213579716373, + "grad_norm": 1.25, + "learning_rate": 6.593274370232191e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23973492234945298, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.6986674785614015, + "epoch": 8.896433175762784, + "grad_norm": 1.265625, + "learning_rate": 6.581008374228255e-05, + "loss": 4.8829, + "mean_token_accuracy": 0.2380861073732376, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.688055086135864, + "epoch": 8.90073055436184, + "grad_norm": 1.3125, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8894, + "mean_token_accuracy": 0.239205239713192, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6841371059417725, + "epoch": 8.905027932960895, + "grad_norm": 1.28125, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7971, + "mean_token_accuracy": 0.24701832830905915, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.7468496799469, + "epoch": 8.909325311559948, + "grad_norm": 1.3046875, + "learning_rate": 6.544484565152577e-05, + "loss": 4.8709, + "mean_token_accuracy": 0.24514500945806503, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.707927703857422, + "epoch": 8.913622690159002, + "grad_norm": 1.484375, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8844, + "mean_token_accuracy": 0.24281774312257767, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.734713888168335, + "epoch": 8.917920068758058, + "grad_norm": 1.171875, + "learning_rate": 6.520364107143898e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.24035619348287582, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.757951641082764, + "epoch": 8.922217447357113, + "grad_norm": 1.3046875, + "learning_rate": 6.50837258170615e-05, + "loss": 4.914, + "mean_token_accuracy": 0.2439088225364685, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.776555347442627, + "epoch": 8.926514825956167, + "grad_norm": 1.2890625, + "learning_rate": 6.496426893592397e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.22435057163238525, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.771154832839966, + "epoch": 8.930812204555222, + "grad_norm": 1.421875, + "learning_rate": 6.484527068887258e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.22901748716831208, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.7181800365447994, + "epoch": 8.935109583154276, + "grad_norm": 1.4453125, + "learning_rate": 6.472673133575181e-05, + "loss": 4.8585, + "mean_token_accuracy": 0.23982157111167907, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.724564266204834, + "epoch": 8.939406961753331, + "grad_norm": 1.4140625, + "learning_rate": 6.460865113540437e-05, + "loss": 4.8424, + "mean_token_accuracy": 0.24264838844537734, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.750702953338623, + "epoch": 8.943704340352385, + "grad_norm": 1.34375, + "learning_rate": 6.449103034567011e-05, + "loss": 4.8413, + "mean_token_accuracy": 0.24670601040124893, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.744922637939453, + "epoch": 8.94800171895144, + "grad_norm": 1.375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.9222, + "mean_token_accuracy": 0.23244228661060334, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.760837602615356, + "epoch": 8.952299097550494, + "grad_norm": 1.359375, + "learning_rate": 6.425716802438479e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23593176901340485, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.6986171245574955, + "epoch": 8.95659647614955, + "grad_norm": 1.3984375, + "learning_rate": 6.414092700349548e-05, + "loss": 4.8862, + "mean_token_accuracy": 0.2431177631020546, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.7580320835113525, + "epoch": 8.960893854748603, + "grad_norm": 1.390625, + "learning_rate": 6.402514641454192e-05, + "loss": 4.9962, + "mean_token_accuracy": 0.22172346264123916, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.723747587203979, + "epoch": 8.965191233347658, + "grad_norm": 1.265625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8953, + "mean_token_accuracy": 0.23904290795326233, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.672523498535156, + "epoch": 8.969488611946712, + "grad_norm": 1.46875, + "learning_rate": 6.379496754271044e-05, + "loss": 4.7194, + "mean_token_accuracy": 0.26136820316314696, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.65635724067688, + "epoch": 8.973785990545768, + "grad_norm": 1.4375, + "learning_rate": 6.368056976245107e-05, + "loss": 4.7667, + "mean_token_accuracy": 0.25870931446552276, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.698014831542968, + "epoch": 8.978083369144821, + "grad_norm": 1.421875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.8663, + "mean_token_accuracy": 0.24248220026493073, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.697885036468506, + "epoch": 8.982380747743877, + "grad_norm": 1.3828125, + "learning_rate": 6.345315876223977e-05, + "loss": 4.8258, + "mean_token_accuracy": 0.24143291264772415, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.692233467102051, + "epoch": 8.98667812634293, + "grad_norm": 1.3359375, + "learning_rate": 6.334014603886256e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24324591606855392, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.684511327743531, + "epoch": 8.990975504941986, + "grad_norm": 1.4296875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24234582334756852, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.649232959747314, + "epoch": 8.99527288354104, + "grad_norm": 1.3671875, + "learning_rate": 6.311550737943753e-05, + "loss": 4.8331, + "mean_token_accuracy": 0.24488990157842636, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.7437886714935305, + "epoch": 8.999570262140095, + "grad_norm": 1.34375, + "learning_rate": 6.300388193391075e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2353186011314392, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.738433043162028, + "epoch": 9.003437902879243, + "grad_norm": 1.2734375, + "learning_rate": 6.289271940317174e-05, + "loss": 4.9605, + "mean_token_accuracy": 0.22919231487645042, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.701286554336548, + "epoch": 9.007735281478299, + "grad_norm": 1.328125, + "learning_rate": 6.278202002995497e-05, + "loss": 4.8759, + "mean_token_accuracy": 0.238884337246418, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.717434740066528, + "epoch": 9.012032660077352, + "grad_norm": 1.40625, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7925, + "mean_token_accuracy": 0.2569643914699554, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.755046939849853, + "epoch": 9.016330038676408, + "grad_norm": 1.3515625, + "learning_rate": 6.256201172196921e-05, + "loss": 4.8559, + "mean_token_accuracy": 0.2463230550289154, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.735121393203736, + "epoch": 9.020627417275461, + "grad_norm": 1.28125, + "learning_rate": 6.245270326761034e-05, + "loss": 4.8732, + "mean_token_accuracy": 0.23314425498247146, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.559686202723701, + "eval_loss": 5.891933917999268, + "eval_mean_token_accuracy": 0.18310657089894955, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0537, + "eval_samples_per_second": 1728.062, + "eval_steps_per_second": 216.19, + "step": 10500 + }, + { + "entropy": 5.768205690383911, + "epoch": 9.024924795874517, + "grad_norm": 1.4375, + "learning_rate": 6.234385893159311e-05, + "loss": 4.8745, + "mean_token_accuracy": 0.24339525550603866, + "num_tokens": 19095610.0, + "step": 10505 + }, + { + "entropy": 5.7007143020629885, + "epoch": 9.02922217447357, + "grad_norm": 1.390625, + "learning_rate": 6.223547895159009e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.25003656595945356, + "num_tokens": 19103649.0, + "step": 10510 + }, + { + "entropy": 5.641485261917114, + "epoch": 9.033519553072626, + "grad_norm": 1.3046875, + "learning_rate": 6.212756356425978e-05, + "loss": 4.7692, + "mean_token_accuracy": 0.25189306139945983, + "num_tokens": 19112426.0, + "step": 10515 + }, + { + "entropy": 5.722223091125488, + "epoch": 9.03781693167168, + "grad_norm": 1.3359375, + "learning_rate": 6.202011300524623e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.2431654766201973, + "num_tokens": 19121307.0, + "step": 10520 + }, + { + "entropy": 5.768562936782837, + "epoch": 9.042114310270735, + "grad_norm": 1.2578125, + "learning_rate": 6.191312750917855e-05, + "loss": 4.9119, + "mean_token_accuracy": 0.24403591454029083, + "num_tokens": 19129728.0, + "step": 10525 + }, + { + "entropy": 5.696633958816529, + "epoch": 9.046411688869789, + "grad_norm": 1.375, + "learning_rate": 6.180660730967036e-05, + "loss": 4.8368, + "mean_token_accuracy": 0.24488697648048402, + "num_tokens": 19139931.0, + "step": 10530 + }, + { + "entropy": 5.760554838180542, + "epoch": 9.050709067468844, + "grad_norm": 1.34375, + "learning_rate": 6.170055263931912e-05, + "loss": 4.8218, + "mean_token_accuracy": 0.24506218880414962, + "num_tokens": 19148711.0, + "step": 10535 + }, + { + "entropy": 5.7619397163391115, + "epoch": 9.055006446067898, + "grad_norm": 1.375, + "learning_rate": 6.159496372970584e-05, + "loss": 4.8071, + "mean_token_accuracy": 0.24310505241155625, + "num_tokens": 19156937.0, + "step": 10540 + }, + { + "entropy": 5.677298069000244, + "epoch": 9.059303824666953, + "grad_norm": 1.2265625, + "learning_rate": 6.148984081139454e-05, + "loss": 4.8373, + "mean_token_accuracy": 0.2453565239906311, + "num_tokens": 19166449.0, + "step": 10545 + }, + { + "entropy": 5.751143884658814, + "epoch": 9.063601203266007, + "grad_norm": 1.1328125, + "learning_rate": 6.138518411393163e-05, + "loss": 4.9664, + "mean_token_accuracy": 0.23417426645755768, + "num_tokens": 19175757.0, + "step": 10550 + }, + { + "entropy": 5.7382289409637455, + "epoch": 9.067898581865062, + "grad_norm": 1.390625, + "learning_rate": 6.128099386584548e-05, + "loss": 4.8604, + "mean_token_accuracy": 0.2502607494592667, + "num_tokens": 19184638.0, + "step": 10555 + }, + { + "entropy": 5.714648246765137, + "epoch": 9.072195960464116, + "grad_norm": 1.390625, + "learning_rate": 6.1177270294646e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24113665670156478, + "num_tokens": 19193791.0, + "step": 10560 + }, + { + "entropy": 5.68681697845459, + "epoch": 9.076493339063171, + "grad_norm": 1.34375, + "learning_rate": 6.107401362682401e-05, + "loss": 4.9186, + "mean_token_accuracy": 0.23942002207040786, + "num_tokens": 19202595.0, + "step": 10565 + }, + { + "entropy": 5.715084075927734, + "epoch": 9.080790717662227, + "grad_norm": 1.2265625, + "learning_rate": 6.097122408785076e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24075437635183333, + "num_tokens": 19211994.0, + "step": 10570 + }, + { + "entropy": 5.72618145942688, + "epoch": 9.08508809626128, + "grad_norm": 1.3046875, + "learning_rate": 6.086890190217752e-05, + "loss": 4.8462, + "mean_token_accuracy": 0.2431514397263527, + "num_tokens": 19220588.0, + "step": 10575 + }, + { + "entropy": 5.6821825981140135, + "epoch": 9.089385474860336, + "grad_norm": 1.3984375, + "learning_rate": 6.076704729323507e-05, + "loss": 4.7938, + "mean_token_accuracy": 0.24978432357311248, + "num_tokens": 19229679.0, + "step": 10580 + }, + { + "entropy": 5.72755184173584, + "epoch": 9.09368285345939, + "grad_norm": 1.3359375, + "learning_rate": 6.0665660483433173e-05, + "loss": 4.9212, + "mean_token_accuracy": 0.23904457241296767, + "num_tokens": 19239269.0, + "step": 10585 + }, + { + "entropy": 5.739861583709716, + "epoch": 9.097980232058445, + "grad_norm": 1.375, + "learning_rate": 6.05647416941601e-05, + "loss": 4.9112, + "mean_token_accuracy": 0.24730296581983566, + "num_tokens": 19249046.0, + "step": 10590 + }, + { + "entropy": 5.682226276397705, + "epoch": 9.102277610657499, + "grad_norm": 1.34375, + "learning_rate": 6.046429114578212e-05, + "loss": 4.784, + "mean_token_accuracy": 0.2475551262497902, + "num_tokens": 19257398.0, + "step": 10595 + }, + { + "entropy": 5.744178533554077, + "epoch": 9.106574989256554, + "grad_norm": 1.34375, + "learning_rate": 6.0364309057643084e-05, + "loss": 4.8856, + "mean_token_accuracy": 0.2361735597252846, + "num_tokens": 19266619.0, + "step": 10600 + }, + { + "entropy": 5.779590082168579, + "epoch": 9.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 6.0264795648063904e-05, + "loss": 4.8832, + "mean_token_accuracy": 0.24283566623926162, + "num_tokens": 19275837.0, + "step": 10605 + }, + { + "entropy": 5.7637005805969235, + "epoch": 9.115169746454663, + "grad_norm": 1.203125, + "learning_rate": 6.0165751134342155e-05, + "loss": 4.8548, + "mean_token_accuracy": 0.2424402043223381, + "num_tokens": 19284745.0, + "step": 10610 + }, + { + "entropy": 5.722152042388916, + "epoch": 9.119467125053717, + "grad_norm": 1.203125, + "learning_rate": 6.006717573275138e-05, + "loss": 4.8022, + "mean_token_accuracy": 0.24550892412662506, + "num_tokens": 19293956.0, + "step": 10615 + }, + { + "entropy": 5.700108480453491, + "epoch": 9.123764503652772, + "grad_norm": 1.09375, + "learning_rate": 5.996906965854093e-05, + "loss": 4.9131, + "mean_token_accuracy": 0.23563133031129838, + "num_tokens": 19303629.0, + "step": 10620 + }, + { + "entropy": 5.715306329727173, + "epoch": 9.128061882251826, + "grad_norm": 1.421875, + "learning_rate": 5.987143312593522e-05, + "loss": 4.9243, + "mean_token_accuracy": 0.23819719702005387, + "num_tokens": 19312458.0, + "step": 10625 + }, + { + "entropy": 5.679522514343262, + "epoch": 9.132359260850881, + "grad_norm": 1.3671875, + "learning_rate": 5.977426634813338e-05, + "loss": 4.8295, + "mean_token_accuracy": 0.2426922008395195, + "num_tokens": 19321428.0, + "step": 10630 + }, + { + "entropy": 5.7862955093383786, + "epoch": 9.136656639449935, + "grad_norm": 1.3828125, + "learning_rate": 5.9677569537308866e-05, + "loss": 4.9686, + "mean_token_accuracy": 0.22704976350069045, + "num_tokens": 19331176.0, + "step": 10635 + }, + { + "entropy": 5.7446370124816895, + "epoch": 9.14095401804899, + "grad_norm": 1.2890625, + "learning_rate": 5.958134290460888e-05, + "loss": 4.9083, + "mean_token_accuracy": 0.2379206582903862, + "num_tokens": 19340401.0, + "step": 10640 + }, + { + "entropy": 5.678402233123779, + "epoch": 9.145251396648044, + "grad_norm": 1.140625, + "learning_rate": 5.94855866601539e-05, + "loss": 4.8058, + "mean_token_accuracy": 0.24439001679420472, + "num_tokens": 19350700.0, + "step": 10645 + }, + { + "entropy": 5.744732236862182, + "epoch": 9.1495487752471, + "grad_norm": 1.3828125, + "learning_rate": 5.939030101303724e-05, + "loss": 4.8695, + "mean_token_accuracy": 0.2402612566947937, + "num_tokens": 19360040.0, + "step": 10650 + }, + { + "entropy": 5.7309928894042965, + "epoch": 9.153846153846153, + "grad_norm": 1.4140625, + "learning_rate": 5.929548617132472e-05, + "loss": 4.8179, + "mean_token_accuracy": 0.2454057216644287, + "num_tokens": 19368546.0, + "step": 10655 + }, + { + "entropy": 5.6870287418365475, + "epoch": 9.158143532445209, + "grad_norm": 1.4296875, + "learning_rate": 5.920114234205407e-05, + "loss": 4.7862, + "mean_token_accuracy": 0.24816205948591233, + "num_tokens": 19377137.0, + "step": 10660 + }, + { + "entropy": 5.759473419189453, + "epoch": 9.162440911044262, + "grad_norm": 1.3515625, + "learning_rate": 5.910726973123451e-05, + "loss": 4.9586, + "mean_token_accuracy": 0.2330634355545044, + "num_tokens": 19385781.0, + "step": 10665 + }, + { + "entropy": 5.72282657623291, + "epoch": 9.166738289643318, + "grad_norm": 1.3515625, + "learning_rate": 5.901386854384622e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24274778068065644, + "num_tokens": 19395186.0, + "step": 10670 + }, + { + "entropy": 5.77225079536438, + "epoch": 9.171035668242371, + "grad_norm": 1.3828125, + "learning_rate": 5.892093898384017e-05, + "loss": 4.8566, + "mean_token_accuracy": 0.24656753838062287, + "num_tokens": 19404140.0, + "step": 10675 + }, + { + "entropy": 5.730916357040405, + "epoch": 9.175333046841427, + "grad_norm": 1.34375, + "learning_rate": 5.8828481254137276e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24277020394802093, + "num_tokens": 19414481.0, + "step": 10680 + }, + { + "entropy": 5.60438551902771, + "epoch": 9.17963042544048, + "grad_norm": 1.5234375, + "learning_rate": 5.873649555662836e-05, + "loss": 4.7244, + "mean_token_accuracy": 0.24888451993465424, + "num_tokens": 19423259.0, + "step": 10685 + }, + { + "entropy": 5.724711990356445, + "epoch": 9.183927804039536, + "grad_norm": 1.3359375, + "learning_rate": 5.8644982092173335e-05, + "loss": 4.865, + "mean_token_accuracy": 0.24325377345085145, + "num_tokens": 19432011.0, + "step": 10690 + }, + { + "entropy": 5.696267986297608, + "epoch": 9.18822518263859, + "grad_norm": 1.328125, + "learning_rate": 5.85539410606011e-05, + "loss": 4.8452, + "mean_token_accuracy": 0.24142812043428422, + "num_tokens": 19441221.0, + "step": 10695 + }, + { + "entropy": 5.712868976593017, + "epoch": 9.192522561237645, + "grad_norm": 1.3984375, + "learning_rate": 5.8463372660708836e-05, + "loss": 4.8102, + "mean_token_accuracy": 0.2449094161391258, + "num_tokens": 19450014.0, + "step": 10700 + }, + { + "entropy": 5.724195671081543, + "epoch": 9.196819939836699, + "grad_norm": 1.3359375, + "learning_rate": 5.837327709026171e-05, + "loss": 4.9036, + "mean_token_accuracy": 0.2391239047050476, + "num_tokens": 19459480.0, + "step": 10705 + }, + { + "entropy": 5.737326002120971, + "epoch": 9.201117318435754, + "grad_norm": 1.265625, + "learning_rate": 5.8283654545992464e-05, + "loss": 4.9029, + "mean_token_accuracy": 0.23848976492881774, + "num_tokens": 19469111.0, + "step": 10710 + }, + { + "entropy": 5.751066207885742, + "epoch": 9.20541469703481, + "grad_norm": 1.40625, + "learning_rate": 5.819450522360096e-05, + "loss": 4.8419, + "mean_token_accuracy": 0.23905779421329498, + "num_tokens": 19477531.0, + "step": 10715 + }, + { + "entropy": 5.737590551376343, + "epoch": 9.209712075633863, + "grad_norm": 1.4140625, + "learning_rate": 5.810582931775362e-05, + "loss": 4.8554, + "mean_token_accuracy": 0.23738077729940416, + "num_tokens": 19486041.0, + "step": 10720 + }, + { + "entropy": 5.7077555656433105, + "epoch": 9.214009454232919, + "grad_norm": 1.3515625, + "learning_rate": 5.801762702208317e-05, + "loss": 4.8924, + "mean_token_accuracy": 0.24125652760267258, + "num_tokens": 19495514.0, + "step": 10725 + }, + { + "entropy": 5.6811192512512205, + "epoch": 9.218306832831972, + "grad_norm": 1.390625, + "learning_rate": 5.7929898529188215e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.2412465736269951, + "num_tokens": 19503879.0, + "step": 10730 + }, + { + "entropy": 5.684185552597046, + "epoch": 9.222604211431028, + "grad_norm": 1.1640625, + "learning_rate": 5.784264403063272e-05, + "loss": 4.7873, + "mean_token_accuracy": 0.24483999311923982, + "num_tokens": 19513922.0, + "step": 10735 + }, + { + "entropy": 5.6932319641113285, + "epoch": 9.226901590030081, + "grad_norm": 1.4765625, + "learning_rate": 5.775586371694561e-05, + "loss": 4.8255, + "mean_token_accuracy": 0.2445918560028076, + "num_tokens": 19522555.0, + "step": 10740 + }, + { + "entropy": 5.701971054077148, + "epoch": 9.231198968629137, + "grad_norm": 1.1953125, + "learning_rate": 5.7669557777620376e-05, + "loss": 4.8253, + "mean_token_accuracy": 0.2440289631485939, + "num_tokens": 19531245.0, + "step": 10745 + }, + { + "entropy": 5.6902079582214355, + "epoch": 9.23549634722819, + "grad_norm": 1.40625, + "learning_rate": 5.7583726401114756e-05, + "loss": 4.8014, + "mean_token_accuracy": 0.25117970257997513, + "num_tokens": 19540258.0, + "step": 10750 + }, + { + "entropy": 5.7464635372161865, + "epoch": 9.239793725827246, + "grad_norm": 1.390625, + "learning_rate": 5.749836977485013e-05, + "loss": 4.8656, + "mean_token_accuracy": 0.2349914312362671, + "num_tokens": 19550071.0, + "step": 10755 + }, + { + "entropy": 5.686515665054321, + "epoch": 9.2440911044263, + "grad_norm": 1.25, + "learning_rate": 5.741348808521128e-05, + "loss": 4.7854, + "mean_token_accuracy": 0.25020948648452757, + "num_tokens": 19558972.0, + "step": 10760 + }, + { + "entropy": 5.709124660491943, + "epoch": 9.248388483025355, + "grad_norm": 1.28125, + "learning_rate": 5.7329081517545846e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23870760351419448, + "num_tokens": 19568270.0, + "step": 10765 + }, + { + "entropy": 5.750066089630127, + "epoch": 9.252685861624409, + "grad_norm": 1.5703125, + "learning_rate": 5.724515025616409e-05, + "loss": 4.8639, + "mean_token_accuracy": 0.2456628665328026, + "num_tokens": 19576726.0, + "step": 10770 + }, + { + "entropy": 5.721097707748413, + "epoch": 9.256983240223464, + "grad_norm": 1.296875, + "learning_rate": 5.716169448433832e-05, + "loss": 4.8602, + "mean_token_accuracy": 0.23966725170612335, + "num_tokens": 19586706.0, + "step": 10775 + }, + { + "entropy": 5.713471555709839, + "epoch": 9.261280618822518, + "grad_norm": 1.3671875, + "learning_rate": 5.707871438430255e-05, + "loss": 4.8842, + "mean_token_accuracy": 0.23704735487699508, + "num_tokens": 19595370.0, + "step": 10780 + }, + { + "entropy": 5.720728015899658, + "epoch": 9.265577997421573, + "grad_norm": 1.4453125, + "learning_rate": 5.699621013725218e-05, + "loss": 4.9015, + "mean_token_accuracy": 0.24206158965826036, + "num_tokens": 19604134.0, + "step": 10785 + }, + { + "entropy": 5.6510015487670895, + "epoch": 9.269875376020627, + "grad_norm": 1.359375, + "learning_rate": 5.691418192334352e-05, + "loss": 4.8221, + "mean_token_accuracy": 0.25330779552459715, + "num_tokens": 19612716.0, + "step": 10790 + }, + { + "entropy": 5.697645568847657, + "epoch": 9.274172754619682, + "grad_norm": 1.296875, + "learning_rate": 5.683262992169341e-05, + "loss": 4.909, + "mean_token_accuracy": 0.2355555221438408, + "num_tokens": 19621850.0, + "step": 10795 + }, + { + "entropy": 5.688250255584717, + "epoch": 9.278470133218736, + "grad_norm": 1.296875, + "learning_rate": 5.675155431037876e-05, + "loss": 4.8704, + "mean_token_accuracy": 0.24086801260709761, + "num_tokens": 19630706.0, + "step": 10800 + }, + { + "entropy": 5.662147855758667, + "epoch": 9.282767511817791, + "grad_norm": 1.359375, + "learning_rate": 5.6670955266436365e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.2558609426021576, + "num_tokens": 19639364.0, + "step": 10805 + }, + { + "entropy": 5.741171836853027, + "epoch": 9.287064890416845, + "grad_norm": 1.328125, + "learning_rate": 5.659083296586229e-05, + "loss": 4.7906, + "mean_token_accuracy": 0.24558178037405015, + "num_tokens": 19647816.0, + "step": 10810 + }, + { + "entropy": 5.730060243606568, + "epoch": 9.2913622690159, + "grad_norm": 1.2109375, + "learning_rate": 5.6511187583611663e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.24423112869262695, + "num_tokens": 19657136.0, + "step": 10815 + }, + { + "entropy": 5.771777868270874, + "epoch": 9.295659647614954, + "grad_norm": 1.4609375, + "learning_rate": 5.643201929359809e-05, + "loss": 4.8806, + "mean_token_accuracy": 0.2378945991396904, + "num_tokens": 19665676.0, + "step": 10820 + }, + { + "entropy": 5.734367990493775, + "epoch": 9.29995702621401, + "grad_norm": 1.4765625, + "learning_rate": 5.635332826869353e-05, + "loss": 4.8337, + "mean_token_accuracy": 0.24641830772161483, + "num_tokens": 19674415.0, + "step": 10825 + }, + { + "entropy": 5.673384141921997, + "epoch": 9.304254404813063, + "grad_norm": 1.265625, + "learning_rate": 5.6275114680727716e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24797581434249877, + "num_tokens": 19684411.0, + "step": 10830 + }, + { + "entropy": 5.698321294784546, + "epoch": 9.308551783412119, + "grad_norm": 1.4453125, + "learning_rate": 5.619737870048783e-05, + "loss": 4.8224, + "mean_token_accuracy": 0.24377230405807496, + "num_tokens": 19693192.0, + "step": 10835 + }, + { + "entropy": 5.6213613986969, + "epoch": 9.312849162011172, + "grad_norm": 1.34375, + "learning_rate": 5.612012049771823e-05, + "loss": 4.7103, + "mean_token_accuracy": 0.25083507001399996, + "num_tokens": 19701710.0, + "step": 10840 + }, + { + "entropy": 5.7836895942687985, + "epoch": 9.317146540610228, + "grad_norm": 1.265625, + "learning_rate": 5.6043340241119924e-05, + "loss": 4.9229, + "mean_token_accuracy": 0.23689377903938294, + "num_tokens": 19710909.0, + "step": 10845 + }, + { + "entropy": 5.72804274559021, + "epoch": 9.321443919209282, + "grad_norm": 1.296875, + "learning_rate": 5.596703809835033e-05, + "loss": 4.874, + "mean_token_accuracy": 0.23930975049734116, + "num_tokens": 19720634.0, + "step": 10850 + }, + { + "entropy": 5.708077764511108, + "epoch": 9.325741297808337, + "grad_norm": 1.5390625, + "learning_rate": 5.589121423602277e-05, + "loss": 4.8003, + "mean_token_accuracy": 0.24899453520774842, + "num_tokens": 19729763.0, + "step": 10855 + }, + { + "entropy": 5.772850513458252, + "epoch": 9.33003867640739, + "grad_norm": 1.328125, + "learning_rate": 5.581586881970631e-05, + "loss": 4.9386, + "mean_token_accuracy": 0.23242200613021852, + "num_tokens": 19739065.0, + "step": 10860 + }, + { + "entropy": 5.6640668392181395, + "epoch": 9.334336055006446, + "grad_norm": 1.2734375, + "learning_rate": 5.574100201392522e-05, + "loss": 4.7625, + "mean_token_accuracy": 0.25813745260238646, + "num_tokens": 19748519.0, + "step": 10865 + }, + { + "entropy": 5.7350257396697994, + "epoch": 9.338633433605501, + "grad_norm": 1.3515625, + "learning_rate": 5.5666613982158665e-05, + "loss": 4.839, + "mean_token_accuracy": 0.2506720334291458, + "num_tokens": 19757573.0, + "step": 10870 + }, + { + "entropy": 5.762840938568115, + "epoch": 9.342930812204555, + "grad_norm": 1.34375, + "learning_rate": 5.559270488684036e-05, + "loss": 4.9695, + "mean_token_accuracy": 0.22792510986328124, + "num_tokens": 19767534.0, + "step": 10875 + }, + { + "entropy": 5.7635585308074955, + "epoch": 9.34722819080361, + "grad_norm": 1.2265625, + "learning_rate": 5.551927488935826e-05, + "loss": 4.915, + "mean_token_accuracy": 0.2328255593776703, + "num_tokens": 19776929.0, + "step": 10880 + }, + { + "entropy": 5.7432098388671875, + "epoch": 9.351525569402664, + "grad_norm": 1.3515625, + "learning_rate": 5.5446324150054086e-05, + "loss": 4.8966, + "mean_token_accuracy": 0.24054146707057952, + "num_tokens": 19785772.0, + "step": 10885 + }, + { + "entropy": 5.744037818908692, + "epoch": 9.35582294800172, + "grad_norm": 1.15625, + "learning_rate": 5.537385282822315e-05, + "loss": 4.8791, + "mean_token_accuracy": 0.2423680067062378, + "num_tokens": 19796073.0, + "step": 10890 + }, + { + "entropy": 5.719657611846924, + "epoch": 9.360120326600773, + "grad_norm": 1.5234375, + "learning_rate": 5.53018610821138e-05, + "loss": 4.8875, + "mean_token_accuracy": 0.24139334410429, + "num_tokens": 19804511.0, + "step": 10895 + }, + { + "entropy": 5.771108245849609, + "epoch": 9.364417705199829, + "grad_norm": 1.3671875, + "learning_rate": 5.523034906892728e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.24052533209323884, + "num_tokens": 19813348.0, + "step": 10900 + }, + { + "entropy": 5.759429550170898, + "epoch": 9.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 5.515931694481722e-05, + "loss": 4.9221, + "mean_token_accuracy": 0.23646650612354278, + "num_tokens": 19822390.0, + "step": 10905 + }, + { + "entropy": 5.789000034332275, + "epoch": 9.373012462397938, + "grad_norm": 1.34375, + "learning_rate": 5.508876486488936e-05, + "loss": 4.9348, + "mean_token_accuracy": 0.23186779618263245, + "num_tokens": 19832423.0, + "step": 10910 + }, + { + "entropy": 5.708720397949219, + "epoch": 9.377309840996991, + "grad_norm": 1.421875, + "learning_rate": 5.501869298320128e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.23571010082960128, + "num_tokens": 19841271.0, + "step": 10915 + }, + { + "entropy": 5.74044771194458, + "epoch": 9.381607219596047, + "grad_norm": 1.4296875, + "learning_rate": 5.4949101452761995e-05, + "loss": 4.8809, + "mean_token_accuracy": 0.24290914088487625, + "num_tokens": 19850648.0, + "step": 10920 + }, + { + "entropy": 5.731217288970948, + "epoch": 9.3859045981951, + "grad_norm": 1.2109375, + "learning_rate": 5.4879990425531534e-05, + "loss": 4.8185, + "mean_token_accuracy": 0.25113645792007444, + "num_tokens": 19860102.0, + "step": 10925 + }, + { + "entropy": 5.745176935195923, + "epoch": 9.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 5.4811360052420754e-05, + "loss": 4.9093, + "mean_token_accuracy": 0.23800594508647918, + "num_tokens": 19870008.0, + "step": 10930 + }, + { + "entropy": 5.709982967376709, + "epoch": 9.39449935539321, + "grad_norm": 1.15625, + "learning_rate": 5.4743210483290974e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24858268350362778, + "num_tokens": 19879452.0, + "step": 10935 + }, + { + "entropy": 5.79788875579834, + "epoch": 9.398796733992265, + "grad_norm": 1.25, + "learning_rate": 5.467554186695364e-05, + "loss": 4.9251, + "mean_token_accuracy": 0.23087782859802247, + "num_tokens": 19888956.0, + "step": 10940 + }, + { + "entropy": 5.713366889953614, + "epoch": 9.403094112591319, + "grad_norm": 1.2734375, + "learning_rate": 5.4608354351169944e-05, + "loss": 4.8697, + "mean_token_accuracy": 0.24130331128835678, + "num_tokens": 19897760.0, + "step": 10945 + }, + { + "entropy": 5.6680543422698975, + "epoch": 9.407391491190374, + "grad_norm": 1.3984375, + "learning_rate": 5.454164808265057e-05, + "loss": 4.8502, + "mean_token_accuracy": 0.23947279751300812, + "num_tokens": 19905692.0, + "step": 10950 + }, + { + "entropy": 5.671962881088257, + "epoch": 9.411688869789428, + "grad_norm": 1.359375, + "learning_rate": 5.447542320705532e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2486485093832016, + "num_tokens": 19914633.0, + "step": 10955 + }, + { + "entropy": 5.754352760314942, + "epoch": 9.415986248388483, + "grad_norm": 1.3984375, + "learning_rate": 5.440967986899289e-05, + "loss": 4.885, + "mean_token_accuracy": 0.2311162158846855, + "num_tokens": 19922749.0, + "step": 10960 + }, + { + "entropy": 5.722763872146606, + "epoch": 9.420283626987537, + "grad_norm": 1.34375, + "learning_rate": 5.434441821202042e-05, + "loss": 4.8282, + "mean_token_accuracy": 0.24647813886404038, + "num_tokens": 19931274.0, + "step": 10965 + }, + { + "entropy": 5.728282833099366, + "epoch": 9.424581005586592, + "grad_norm": 1.359375, + "learning_rate": 5.42796383786433e-05, + "loss": 4.8605, + "mean_token_accuracy": 0.2373078092932701, + "num_tokens": 19940052.0, + "step": 10970 + }, + { + "entropy": 5.72069993019104, + "epoch": 9.428878384185646, + "grad_norm": 1.234375, + "learning_rate": 5.4215340510314805e-05, + "loss": 4.8635, + "mean_token_accuracy": 0.24039194881916046, + "num_tokens": 19948890.0, + "step": 10975 + }, + { + "entropy": 5.700727844238282, + "epoch": 9.433175762784701, + "grad_norm": 1.234375, + "learning_rate": 5.41515247474358e-05, + "loss": 4.9025, + "mean_token_accuracy": 0.24478237628936766, + "num_tokens": 19958158.0, + "step": 10980 + }, + { + "entropy": 5.762474441528321, + "epoch": 9.437473141383755, + "grad_norm": 1.2578125, + "learning_rate": 5.4088191229354306e-05, + "loss": 4.9555, + "mean_token_accuracy": 0.2400050938129425, + "num_tokens": 19967432.0, + "step": 10985 + }, + { + "entropy": 5.700712060928344, + "epoch": 9.44177051998281, + "grad_norm": 1.296875, + "learning_rate": 5.402534009436552e-05, + "loss": 4.8405, + "mean_token_accuracy": 0.24093716442584992, + "num_tokens": 19977661.0, + "step": 10990 + }, + { + "entropy": 5.7578575134277346, + "epoch": 9.446067898581864, + "grad_norm": 1.359375, + "learning_rate": 5.396297147971116e-05, + "loss": 4.8967, + "mean_token_accuracy": 0.23771874606609344, + "num_tokens": 19986359.0, + "step": 10995 + }, + { + "entropy": 5.716905927658081, + "epoch": 9.45036527718092, + "grad_norm": 1.28125, + "learning_rate": 5.390108552157935e-05, + "loss": 4.8097, + "mean_token_accuracy": 0.24744485914707184, + "num_tokens": 19994618.0, + "step": 11000 + }, + { + "epoch": 9.45036527718092, + "eval_entropy": 5.561021716208072, + "eval_loss": 5.893560409545898, + "eval_mean_token_accuracy": 0.18303356171996743, + "eval_num_tokens": 19994618.0, + "eval_runtime": 2.0478, + "eval_samples_per_second": 1733.059, + "eval_steps_per_second": 216.816, + "step": 11000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4496973565685760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-11000/training_args.bin b/checkpoint-11000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-11000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-11500/added_tokens.json b/checkpoint-11500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-11500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-11500/config.json b/checkpoint-11500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-11500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-11500/generation_config.json b/checkpoint-11500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-11500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-11500/model.safetensors b/checkpoint-11500/model.safetensors new file mode 100644 index 0000000..31c2318 --- /dev/null +++ b/checkpoint-11500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:afea0d3bc8fb566c49fa8e350d47a09465bb52d8385602778349b97c57e5cc16 +size 78179408 diff --git a/checkpoint-11500/rng_state.pth b/checkpoint-11500/rng_state.pth new file mode 100644 index 0000000..1e0c085 --- /dev/null +++ b/checkpoint-11500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8754e0e099e04a57cb2bf4021162d2050e7ff5004e5cbd80cf3ae1dccabc889 +size 14645 diff --git a/checkpoint-11500/special_tokens_map.json b/checkpoint-11500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-11500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-11500/spiece.model b/checkpoint-11500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-11500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-11500/tokenizer_config.json b/checkpoint-11500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-11500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-11500/trainer_state.json b/checkpoint-11500/trainer_state.json new file mode 100644 index 0000000..8ad64f0 --- /dev/null +++ b/checkpoint-11500/trainer_state.json @@ -0,0 +1,23287 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.880103137086378, + "eval_steps": 500, + "global_step": 11500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + }, + { + "entropy": 5.66387529373169, + "epoch": 7.306832831972497, + "grad_norm": 1.203125, + "learning_rate": 0.00013938223617599124, + "loss": 4.9421, + "mean_token_accuracy": 0.23342001885175706, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.74355845451355, + "epoch": 7.311130210571552, + "grad_norm": 1.4375, + "learning_rate": 0.00013911708523901514, + "loss": 4.9755, + "mean_token_accuracy": 0.23636211156845094, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.763104438781738, + "epoch": 7.315427589170606, + "grad_norm": 1.2734375, + "learning_rate": 0.00013885223101601303, + "loss": 4.8955, + "mean_token_accuracy": 0.23637697100639343, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.71501669883728, + "epoch": 7.319724967769661, + "grad_norm": 1.265625, + "learning_rate": 0.00013858767408532051, + "loss": 4.8816, + "mean_token_accuracy": 0.24099365025758743, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.723988056182861, + "epoch": 7.324022346368715, + "grad_norm": 1.375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8774, + "mean_token_accuracy": 0.23590993583202363, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.737170457839966, + "epoch": 7.32831972496777, + "grad_norm": 1.46875, + "learning_rate": 0.00013805945441096057, + "loss": 4.9277, + "mean_token_accuracy": 0.23668332844972612, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.7540687084197994, + "epoch": 7.332617103566824, + "grad_norm": 1.375, + "learning_rate": 0.00013779579282071364, + "loss": 4.9306, + "mean_token_accuracy": 0.2349459186196327, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.676801681518555, + "epoch": 7.336914482165879, + "grad_norm": 1.28125, + "learning_rate": 0.00013753243082961512, + "loss": 4.8768, + "mean_token_accuracy": 0.24011008739471434, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.68070273399353, + "epoch": 7.3412118607649335, + "grad_norm": 1.328125, + "learning_rate": 0.00013726936901274246, + "loss": 4.8393, + "mean_token_accuracy": 0.24872156083583832, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.800928020477295, + "epoch": 7.345509239363988, + "grad_norm": 1.21875, + "learning_rate": 0.0001370066079445174, + "loss": 4.9704, + "mean_token_accuracy": 0.23076788932085038, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.79030556678772, + "epoch": 7.349806617963043, + "grad_norm": 1.2421875, + "learning_rate": 0.00013674414819870502, + "loss": 5.0745, + "mean_token_accuracy": 0.22369800060987471, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.730133438110352, + "epoch": 7.354103996562097, + "grad_norm": 1.3984375, + "learning_rate": 0.00013648199034841264, + "loss": 4.92, + "mean_token_accuracy": 0.2387056604027748, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.69276180267334, + "epoch": 7.358401375161152, + "grad_norm": 1.34375, + "learning_rate": 0.0001362201349660882, + "loss": 4.8912, + "mean_token_accuracy": 0.24466140568256378, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.666532707214356, + "epoch": 7.362698753760206, + "grad_norm": 1.3203125, + "learning_rate": 0.0001359585826235192, + "loss": 4.8956, + "mean_token_accuracy": 0.24125270992517472, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.799620962142944, + "epoch": 7.366996132359261, + "grad_norm": 1.3984375, + "learning_rate": 0.00013569733389183126, + "loss": 4.9952, + "mean_token_accuracy": 0.22822352200746537, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.758121490478516, + "epoch": 7.371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.00013543638934148736, + "loss": 4.9296, + "mean_token_accuracy": 0.23435905277729036, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.814731168746948, + "epoch": 7.37559088955737, + "grad_norm": 1.359375, + "learning_rate": 0.000135175749542286, + "loss": 4.9821, + "mean_token_accuracy": 0.22124236524105073, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.67050518989563, + "epoch": 7.379888268156424, + "grad_norm": 1.21875, + "learning_rate": 0.0001349154150633604, + "loss": 4.8697, + "mean_token_accuracy": 0.2459047943353653, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.741513633728028, + "epoch": 7.384185646755479, + "grad_norm": 1.2578125, + "learning_rate": 0.000134655386473177, + "loss": 5.0171, + "mean_token_accuracy": 0.22208292037248611, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.637994432449341, + "epoch": 7.3884830253545335, + "grad_norm": 1.4375, + "learning_rate": 0.00013439566433953427, + "loss": 4.892, + "mean_token_accuracy": 0.2412777841091156, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.720129156112671, + "epoch": 7.392780403953588, + "grad_norm": 1.3359375, + "learning_rate": 0.0001341362492295616, + "loss": 4.89, + "mean_token_accuracy": 0.2424454867839813, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.777584362030029, + "epoch": 7.397077782552643, + "grad_norm": 1.46875, + "learning_rate": 0.00013387714170971776, + "loss": 4.9287, + "mean_token_accuracy": 0.22944550216197968, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.785937261581421, + "epoch": 7.401375161151697, + "grad_norm": 1.265625, + "learning_rate": 0.00013361834234579012, + "loss": 5.0178, + "mean_token_accuracy": 0.22616576850414277, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.6717626571655275, + "epoch": 7.405672539750752, + "grad_norm": 1.3671875, + "learning_rate": 0.0001333598517028931, + "loss": 4.9006, + "mean_token_accuracy": 0.23272989243268966, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.688118124008179, + "epoch": 7.409969918349806, + "grad_norm": 1.3125, + "learning_rate": 0.00013310167034546688, + "loss": 4.887, + "mean_token_accuracy": 0.2374843627214432, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.749850463867188, + "epoch": 7.414267296948861, + "grad_norm": 1.3984375, + "learning_rate": 0.0001328437988372763, + "loss": 4.9595, + "mean_token_accuracy": 0.22750054448843002, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.756968069076538, + "epoch": 7.418564675547916, + "grad_norm": 1.3125, + "learning_rate": 0.00013258623774140967, + "loss": 4.9342, + "mean_token_accuracy": 0.2360052227973938, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.706060266494751, + "epoch": 7.422862054146971, + "grad_norm": 1.375, + "learning_rate": 0.00013232898762027766, + "loss": 4.8852, + "mean_token_accuracy": 0.2418963521718979, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.772034740447998, + "epoch": 7.427159432746025, + "grad_norm": 1.2734375, + "learning_rate": 0.00013207204903561154, + "loss": 4.978, + "mean_token_accuracy": 0.23209577053785324, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.702054405212403, + "epoch": 7.43145681134508, + "grad_norm": 1.234375, + "learning_rate": 0.00013181542254846247, + "loss": 4.8473, + "mean_token_accuracy": 0.2422897547483444, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.75566291809082, + "epoch": 7.435754189944134, + "grad_norm": 1.390625, + "learning_rate": 0.0001315591087192002, + "loss": 4.9831, + "mean_token_accuracy": 0.2323268622159958, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.655916357040406, + "epoch": 7.440051568543189, + "grad_norm": 1.234375, + "learning_rate": 0.00013130310810751162, + "loss": 4.8862, + "mean_token_accuracy": 0.23978102058172227, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.784155988693238, + "epoch": 7.4443489471422435, + "grad_norm": 1.3671875, + "learning_rate": 0.00013104742127239983, + "loss": 5.016, + "mean_token_accuracy": 0.22613199800252914, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.7693627834320065, + "epoch": 7.448646325741298, + "grad_norm": 1.1484375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9986, + "mean_token_accuracy": 0.22481437474489213, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.737584114074707, + "epoch": 7.452943704340353, + "grad_norm": 1.375, + "learning_rate": 0.00013053699116449144, + "loss": 4.9084, + "mean_token_accuracy": 0.22960878312587737, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.89331545829773, + "epoch": 7.457241082939407, + "grad_norm": 1.203125, + "learning_rate": 0.00013028224900627026, + "loss": 5.0301, + "mean_token_accuracy": 0.21912138164043427, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.803331756591797, + "epoch": 7.461538461538462, + "grad_norm": 1.0625, + "learning_rate": 0.00013002782285377395, + "loss": 4.9622, + "mean_token_accuracy": 0.2376553386449814, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.750441551208496, + "epoch": 7.465835840137516, + "grad_norm": 1.4375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9946, + "mean_token_accuracy": 0.2235792651772499, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.789198493957519, + "epoch": 7.470133218736571, + "grad_norm": 1.5, + "learning_rate": 0.00012951992078752528, + "loss": 4.9474, + "mean_token_accuracy": 0.2321646735072136, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.744178915023804, + "epoch": 7.474430597335625, + "grad_norm": 1.1953125, + "learning_rate": 0.00012926644598282798, + "loss": 4.9459, + "mean_token_accuracy": 0.22402314394712447, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.74596061706543, + "epoch": 7.47872797593468, + "grad_norm": 1.234375, + "learning_rate": 0.0001290132894019634, + "loss": 4.9661, + "mean_token_accuracy": 0.23607563078403473, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.778988885879516, + "epoch": 7.483025354533734, + "grad_norm": 1.28125, + "learning_rate": 0.00012876045159772442, + "loss": 4.9489, + "mean_token_accuracy": 0.23937921822071076, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.773708295822144, + "epoch": 7.487322733132789, + "grad_norm": 1.3359375, + "learning_rate": 0.00012850793312220766, + "loss": 4.9283, + "mean_token_accuracy": 0.23426500260829924, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.674078750610351, + "epoch": 7.4916201117318435, + "grad_norm": 1.25, + "learning_rate": 0.00012825573452681266, + "loss": 4.8773, + "mean_token_accuracy": 0.24968714416027069, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.735969209671021, + "epoch": 7.495917490330898, + "grad_norm": 1.375, + "learning_rate": 0.00012800385636224017, + "loss": 4.9358, + "mean_token_accuracy": 0.23501814007759095, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.747404956817627, + "epoch": 7.500214868929953, + "grad_norm": 1.40625, + "learning_rate": 0.00012775229917849162, + "loss": 4.9054, + "mean_token_accuracy": 0.23629093021154404, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.761697673797608, + "epoch": 7.504512247529007, + "grad_norm": 1.234375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8979, + "mean_token_accuracy": 0.2428216427564621, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.700611209869384, + "epoch": 7.508809626128062, + "grad_norm": 1.171875, + "learning_rate": 0.00012725014994996534, + "loss": 4.9339, + "mean_token_accuracy": 0.24504542350769043, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.807457494735718, + "epoch": 7.513107004727116, + "grad_norm": 1.25, + "learning_rate": 0.00012699955900168075, + "loss": 4.9282, + "mean_token_accuracy": 0.229953795671463, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.729871797561645, + "epoch": 7.517404383326171, + "grad_norm": 1.3046875, + "learning_rate": 0.00012674929122720414, + "loss": 4.9777, + "mean_token_accuracy": 0.2232517972588539, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.635332775115967, + "epoch": 7.521701761925225, + "grad_norm": 1.2265625, + "learning_rate": 0.0001264993471730202, + "loss": 4.8575, + "mean_token_accuracy": 0.24274646639823913, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.737993383407593, + "epoch": 7.52599914052428, + "grad_norm": 1.3046875, + "learning_rate": 0.00012624972738490675, + "loss": 5.0013, + "mean_token_accuracy": 0.22250534743070602, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.810367679595947, + "epoch": 7.530296519123334, + "grad_norm": 1.21875, + "learning_rate": 0.00012600043240793368, + "loss": 4.9765, + "mean_token_accuracy": 0.2321833461523056, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.74908938407898, + "epoch": 7.534593897722389, + "grad_norm": 1.3671875, + "learning_rate": 0.00012575146278646175, + "loss": 4.8922, + "mean_token_accuracy": 0.23532313406467437, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.7044130802154545, + "epoch": 7.5388912763214435, + "grad_norm": 1.21875, + "learning_rate": 0.00012550281906414097, + "loss": 4.9005, + "mean_token_accuracy": 0.23530834317207336, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.754625558853149, + "epoch": 7.543188654920499, + "grad_norm": 1.234375, + "learning_rate": 0.00012525450178390972, + "loss": 4.9416, + "mean_token_accuracy": 0.2437831625342369, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.779452610015869, + "epoch": 7.547486033519553, + "grad_norm": 1.3046875, + "learning_rate": 0.0001250065114879939, + "loss": 4.9461, + "mean_token_accuracy": 0.23520458936691285, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.705014038085937, + "epoch": 7.551783412118608, + "grad_norm": 1.2890625, + "learning_rate": 0.00012475884871790505, + "loss": 4.8667, + "mean_token_accuracy": 0.2412562444806099, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.8083795547485355, + "epoch": 7.556080790717663, + "grad_norm": 1.296875, + "learning_rate": 0.00012451151401443982, + "loss": 5.0036, + "mean_token_accuracy": 0.22445941120386123, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.658902978897094, + "epoch": 7.560378169316717, + "grad_norm": 1.3046875, + "learning_rate": 0.00012426450791767815, + "loss": 4.8297, + "mean_token_accuracy": 0.24630579203367234, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.727620363235474, + "epoch": 7.564675547915772, + "grad_norm": 1.34375, + "learning_rate": 0.00012401783096698283, + "loss": 4.7861, + "mean_token_accuracy": 0.24524826556444168, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.739884567260742, + "epoch": 7.568972926514826, + "grad_norm": 1.203125, + "learning_rate": 0.00012377148370099764, + "loss": 4.9565, + "mean_token_accuracy": 0.22828071862459182, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.752638149261474, + "epoch": 7.573270305113881, + "grad_norm": 1.3046875, + "learning_rate": 0.00012352546665764642, + "loss": 4.9625, + "mean_token_accuracy": 0.22861632257699965, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.631821250915527, + "epoch": 7.577567683712935, + "grad_norm": 1.25, + "learning_rate": 0.00012327978037413219, + "loss": 4.8393, + "mean_token_accuracy": 0.2455634668469429, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.749710655212402, + "epoch": 7.58186506231199, + "grad_norm": 1.3828125, + "learning_rate": 0.00012303442538693564, + "loss": 4.9425, + "mean_token_accuracy": 0.23156363964080812, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.689564323425293, + "epoch": 7.586162440911044, + "grad_norm": 1.390625, + "learning_rate": 0.00012278940223181393, + "loss": 4.8338, + "mean_token_accuracy": 0.23270008265972136, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.725271081924438, + "epoch": 7.590459819510099, + "grad_norm": 1.25, + "learning_rate": 0.00012254471144379964, + "loss": 4.8128, + "mean_token_accuracy": 0.25256053656339644, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.727273273468017, + "epoch": 7.5947571981091535, + "grad_norm": 1.21875, + "learning_rate": 0.00012230035355719968, + "loss": 4.9651, + "mean_token_accuracy": 0.23480646908283234, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.772902631759644, + "epoch": 7.599054576708208, + "grad_norm": 1.2421875, + "learning_rate": 0.0001220563291055941, + "loss": 4.9437, + "mean_token_accuracy": 0.23261293321847915, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.765447664260864, + "epoch": 7.603351955307263, + "grad_norm": 1.3125, + "learning_rate": 0.0001218126386218347, + "loss": 4.9353, + "mean_token_accuracy": 0.23733194619417192, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.6730225563049315, + "epoch": 7.607649333906317, + "grad_norm": 1.3671875, + "learning_rate": 0.00012156928263804403, + "loss": 4.8637, + "mean_token_accuracy": 0.24171005487442015, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.743314933776856, + "epoch": 7.611946712505372, + "grad_norm": 1.421875, + "learning_rate": 0.0001213262616856144, + "loss": 5.0012, + "mean_token_accuracy": 0.2306993141770363, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.747490549087525, + "epoch": 7.616244091104426, + "grad_norm": 1.4453125, + "learning_rate": 0.00012108357629520635, + "loss": 4.9057, + "mean_token_accuracy": 0.2387942299246788, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.7210612297058105, + "epoch": 7.620541469703481, + "grad_norm": 1.34375, + "learning_rate": 0.00012084122699674785, + "loss": 4.8936, + "mean_token_accuracy": 0.23947659581899644, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.73658299446106, + "epoch": 7.624838848302535, + "grad_norm": 1.375, + "learning_rate": 0.00012059921431943278, + "loss": 4.943, + "mean_token_accuracy": 0.22805553525686265, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.778007841110229, + "epoch": 7.62913622690159, + "grad_norm": 1.4453125, + "learning_rate": 0.00012035753879172026, + "loss": 5.1314, + "mean_token_accuracy": 0.21736743450164794, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.67980465888977, + "epoch": 7.633433605500644, + "grad_norm": 1.375, + "learning_rate": 0.00012011620094133296, + "loss": 4.7809, + "mean_token_accuracy": 0.25052584558725355, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.683636951446533, + "epoch": 7.637730984099699, + "grad_norm": 1.2421875, + "learning_rate": 0.00011987520129525622, + "loss": 4.923, + "mean_token_accuracy": 0.2359049841761589, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.739316749572754, + "epoch": 7.6420283626987535, + "grad_norm": 1.46875, + "learning_rate": 0.000119634540379737, + "loss": 4.9459, + "mean_token_accuracy": 0.23375426828861237, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.769543027877807, + "epoch": 7.646325741297808, + "grad_norm": 1.3359375, + "learning_rate": 0.00011939421872028262, + "loss": 4.9518, + "mean_token_accuracy": 0.2293008342385292, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.688256788253784, + "epoch": 7.650623119896863, + "grad_norm": 1.296875, + "learning_rate": 0.00011915423684165948, + "loss": 4.8695, + "mean_token_accuracy": 0.2363400101661682, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.784082841873169, + "epoch": 7.654920498495917, + "grad_norm": 1.21875, + "learning_rate": 0.00011891459526789198, + "loss": 4.9513, + "mean_token_accuracy": 0.23087790459394456, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.750850200653076, + "epoch": 7.659217877094972, + "grad_norm": 1.2578125, + "learning_rate": 0.0001186752945222616, + "loss": 4.9408, + "mean_token_accuracy": 0.230193392932415, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.741831827163696, + "epoch": 7.663515255694026, + "grad_norm": 1.171875, + "learning_rate": 0.00011843633512730562, + "loss": 4.891, + "mean_token_accuracy": 0.23511849343776703, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.710381603240966, + "epoch": 7.667812634293082, + "grad_norm": 1.28125, + "learning_rate": 0.00011819771760481576, + "loss": 4.9056, + "mean_token_accuracy": 0.24004074782133103, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.659539985656738, + "epoch": 7.672110012892135, + "grad_norm": 1.3203125, + "learning_rate": 0.00011795944247583725, + "loss": 4.827, + "mean_token_accuracy": 0.2396245777606964, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.710673809051514, + "epoch": 7.676407391491191, + "grad_norm": 1.2265625, + "learning_rate": 0.00011772151026066789, + "loss": 4.8812, + "mean_token_accuracy": 0.23135425001382828, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.770887327194214, + "epoch": 7.680704770090245, + "grad_norm": 1.2421875, + "learning_rate": 0.00011748392147885642, + "loss": 5.0019, + "mean_token_accuracy": 0.22777645140886307, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.739024114608765, + "epoch": 7.6850021486893, + "grad_norm": 1.5390625, + "learning_rate": 0.00011724667664920177, + "loss": 4.9316, + "mean_token_accuracy": 0.23300305306911467, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.772635078430175, + "epoch": 7.689299527288354, + "grad_norm": 1.375, + "learning_rate": 0.00011700977628975183, + "loss": 5.0259, + "mean_token_accuracy": 0.22466233223676682, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.75628547668457, + "epoch": 7.693596905887409, + "grad_norm": 1.359375, + "learning_rate": 0.00011677322091780243, + "loss": 4.9441, + "mean_token_accuracy": 0.230313977599144, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.782389211654663, + "epoch": 7.6978942844864635, + "grad_norm": 1.3125, + "learning_rate": 0.0001165370110498958, + "loss": 4.9823, + "mean_token_accuracy": 0.22912768721580506, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.8072168827056885, + "epoch": 7.702191663085518, + "grad_norm": 1.3125, + "learning_rate": 0.00011630114720181989, + "loss": 4.9706, + "mean_token_accuracy": 0.2286185145378113, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.725326013565064, + "epoch": 7.706489041684573, + "grad_norm": 1.3046875, + "learning_rate": 0.00011606562988860711, + "loss": 4.9052, + "mean_token_accuracy": 0.23271812498569489, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.704691696166992, + "epoch": 7.710786420283627, + "grad_norm": 1.1796875, + "learning_rate": 0.0001158304596245332, + "loss": 4.8801, + "mean_token_accuracy": 0.23317846804857253, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.673254013061523, + "epoch": 7.715083798882682, + "grad_norm": 1.265625, + "learning_rate": 0.00011559563692311595, + "loss": 4.8871, + "mean_token_accuracy": 0.2425983503460884, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.715083312988281, + "epoch": 7.719381177481736, + "grad_norm": 1.25, + "learning_rate": 0.00011536116229711422, + "loss": 4.87, + "mean_token_accuracy": 0.23960913121700286, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.771728086471557, + "epoch": 7.723678556080791, + "grad_norm": 1.2734375, + "learning_rate": 0.000115127036258527, + "loss": 4.9468, + "mean_token_accuracy": 0.22923657298088074, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.707568883895874, + "epoch": 7.727975934679845, + "grad_norm": 1.375, + "learning_rate": 0.00011489325931859185, + "loss": 4.8257, + "mean_token_accuracy": 0.2456026166677475, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.703813886642456, + "epoch": 7.7322733132789, + "grad_norm": 1.2578125, + "learning_rate": 0.0001146598319877843, + "loss": 4.884, + "mean_token_accuracy": 0.2391938716173172, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.542284931685473, + "eval_loss": 5.893875598907471, + "eval_mean_token_accuracy": 0.18242550859445925, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0469, + "eval_samples_per_second": 1733.83, + "eval_steps_per_second": 216.912, + "step": 9000 + }, + { + "entropy": 5.730257511138916, + "epoch": 7.736570691877954, + "grad_norm": 1.40625, + "learning_rate": 0.00011442675477581621, + "loss": 4.946, + "mean_token_accuracy": 0.23982110470533372, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.769806432723999, + "epoch": 7.740868070477009, + "grad_norm": 1.2890625, + "learning_rate": 0.0001141940281916352, + "loss": 4.8663, + "mean_token_accuracy": 0.23052393943071364, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.7794060707092285, + "epoch": 7.7451654490760635, + "grad_norm": 1.2578125, + "learning_rate": 0.00011396165274342304, + "loss": 4.9934, + "mean_token_accuracy": 0.2219093069434166, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.702830696105957, + "epoch": 7.749462827675118, + "grad_norm": 1.2421875, + "learning_rate": 0.00011372962893859471, + "loss": 4.9375, + "mean_token_accuracy": 0.22916385978460313, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.685720300674438, + "epoch": 7.753760206274173, + "grad_norm": 1.28125, + "learning_rate": 0.00011349795728379759, + "loss": 4.9439, + "mean_token_accuracy": 0.2307956948876381, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.757158088684082, + "epoch": 7.758057584873227, + "grad_norm": 1.3046875, + "learning_rate": 0.00011326663828491, + "loss": 5.0021, + "mean_token_accuracy": 0.22755355685949324, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.731455373764038, + "epoch": 7.762354963472282, + "grad_norm": 1.4140625, + "learning_rate": 0.00011303567244704015, + "loss": 4.9722, + "mean_token_accuracy": 0.23510894626379014, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.787262058258056, + "epoch": 7.766652342071336, + "grad_norm": 1.296875, + "learning_rate": 0.00011280506027452502, + "loss": 5.0529, + "mean_token_accuracy": 0.21928364634513856, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.7590248584747314, + "epoch": 7.770949720670391, + "grad_norm": 1.3828125, + "learning_rate": 0.0001125748022709295, + "loss": 4.9702, + "mean_token_accuracy": 0.23275834918022156, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.787170457839966, + "epoch": 7.775247099269445, + "grad_norm": 1.2421875, + "learning_rate": 0.00011234489893904509, + "loss": 4.9795, + "mean_token_accuracy": 0.2291556641459465, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.732330751419068, + "epoch": 7.7795444778685, + "grad_norm": 1.3125, + "learning_rate": 0.00011211535078088869, + "loss": 4.8429, + "mean_token_accuracy": 0.24395294189453126, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.7382737159729, + "epoch": 7.783841856467554, + "grad_norm": 1.375, + "learning_rate": 0.00011188615829770171, + "loss": 4.9092, + "mean_token_accuracy": 0.23593527376651763, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.710181808471679, + "epoch": 7.788139235066609, + "grad_norm": 1.375, + "learning_rate": 0.00011165732198994905, + "loss": 4.9434, + "mean_token_accuracy": 0.23322095423936845, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.713530969619751, + "epoch": 7.792436613665664, + "grad_norm": 1.375, + "learning_rate": 0.00011142884235731756, + "loss": 4.9257, + "mean_token_accuracy": 0.23757666498422622, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.7721363544464115, + "epoch": 7.796733992264718, + "grad_norm": 1.5390625, + "learning_rate": 0.00011120071989871564, + "loss": 5.0154, + "mean_token_accuracy": 0.2297023668885231, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.661825942993164, + "epoch": 7.8010313708637735, + "grad_norm": 1.2109375, + "learning_rate": 0.00011097295511227134, + "loss": 4.8963, + "mean_token_accuracy": 0.2394334778189659, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.722220945358276, + "epoch": 7.805328749462827, + "grad_norm": 1.296875, + "learning_rate": 0.0001107455484953321, + "loss": 4.9024, + "mean_token_accuracy": 0.23700267672538758, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6848217964172365, + "epoch": 7.809626128061883, + "grad_norm": 1.34375, + "learning_rate": 0.00011051850054446306, + "loss": 4.9151, + "mean_token_accuracy": 0.23075505644083022, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.663630819320678, + "epoch": 7.813923506660937, + "grad_norm": 1.4375, + "learning_rate": 0.00011029181175544603, + "loss": 4.8506, + "mean_token_accuracy": 0.2431934058666229, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.792266893386841, + "epoch": 7.818220885259992, + "grad_norm": 1.4140625, + "learning_rate": 0.00011006548262327884, + "loss": 5.0166, + "mean_token_accuracy": 0.23040284514427184, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.806525135040284, + "epoch": 7.822518263859046, + "grad_norm": 1.2890625, + "learning_rate": 0.0001098395136421739, + "loss": 4.9812, + "mean_token_accuracy": 0.22473449409008026, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.760424566268921, + "epoch": 7.826815642458101, + "grad_norm": 1.1875, + "learning_rate": 0.00010961390530555712, + "loss": 4.9704, + "mean_token_accuracy": 0.22575420886278152, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.756677484512329, + "epoch": 7.831113021057155, + "grad_norm": 1.265625, + "learning_rate": 0.00010938865810606682, + "loss": 4.9295, + "mean_token_accuracy": 0.23352717459201813, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.738250303268432, + "epoch": 7.83541039965621, + "grad_norm": 1.1875, + "learning_rate": 0.00010916377253555293, + "loss": 4.9336, + "mean_token_accuracy": 0.22934698015451432, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.708257818222046, + "epoch": 7.839707778255264, + "grad_norm": 1.328125, + "learning_rate": 0.00010893924908507573, + "loss": 4.8916, + "mean_token_accuracy": 0.2412150412797928, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7717221736907955, + "epoch": 7.844005156854319, + "grad_norm": 1.390625, + "learning_rate": 0.0001087150882449046, + "loss": 4.9687, + "mean_token_accuracy": 0.23071876615285875, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.744738292694092, + "epoch": 7.8483025354533735, + "grad_norm": 1.265625, + "learning_rate": 0.00010849129050451717, + "loss": 4.9183, + "mean_token_accuracy": 0.23448994606733323, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.703471088409424, + "epoch": 7.852599914052428, + "grad_norm": 1.234375, + "learning_rate": 0.00010826785635259842, + "loss": 4.8756, + "mean_token_accuracy": 0.23654707819223403, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.713053512573242, + "epoch": 7.856897292651483, + "grad_norm": 1.4765625, + "learning_rate": 0.00010804478627703903, + "loss": 4.8403, + "mean_token_accuracy": 0.2534535199403763, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.770458030700683, + "epoch": 7.861194671250537, + "grad_norm": 1.6015625, + "learning_rate": 0.00010782208076493508, + "loss": 4.9587, + "mean_token_accuracy": 0.23223767578601837, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.747208118438721, + "epoch": 7.865492049849592, + "grad_norm": 1.3359375, + "learning_rate": 0.00010759974030258621, + "loss": 4.9428, + "mean_token_accuracy": 0.2311663582921028, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.7243444442749025, + "epoch": 7.869789428448646, + "grad_norm": 1.1796875, + "learning_rate": 0.00010737776537549531, + "loss": 4.9326, + "mean_token_accuracy": 0.24079572409391403, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.710455989837646, + "epoch": 7.874086807047701, + "grad_norm": 1.3515625, + "learning_rate": 0.00010715615646836679, + "loss": 4.8984, + "mean_token_accuracy": 0.23725621849298478, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.641438770294189, + "epoch": 7.878384185646755, + "grad_norm": 1.21875, + "learning_rate": 0.00010693491406510585, + "loss": 4.8848, + "mean_token_accuracy": 0.2445200726389885, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.747666835784912, + "epoch": 7.88268156424581, + "grad_norm": 1.328125, + "learning_rate": 0.00010671403864881757, + "loss": 4.9711, + "mean_token_accuracy": 0.2317958801984787, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.759106779098511, + "epoch": 7.8869789428448644, + "grad_norm": 1.2421875, + "learning_rate": 0.00010649353070180562, + "loss": 4.9623, + "mean_token_accuracy": 0.2380196452140808, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.734574794769287, + "epoch": 7.891276321443919, + "grad_norm": 1.296875, + "learning_rate": 0.00010627339070557118, + "loss": 4.9401, + "mean_token_accuracy": 0.24096089154481887, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.685746860504151, + "epoch": 7.8955737000429735, + "grad_norm": 1.2734375, + "learning_rate": 0.00010605361914081194, + "loss": 4.854, + "mean_token_accuracy": 0.24479493349790574, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.758388519287109, + "epoch": 7.899871078642028, + "grad_norm": 1.1640625, + "learning_rate": 0.00010583421648742125, + "loss": 4.8878, + "mean_token_accuracy": 0.24218843132257462, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.73368878364563, + "epoch": 7.904168457241083, + "grad_norm": 1.34375, + "learning_rate": 0.00010561518322448673, + "loss": 4.993, + "mean_token_accuracy": 0.22797715663909912, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.702595281600952, + "epoch": 7.908465835840137, + "grad_norm": 1.4140625, + "learning_rate": 0.00010539651983028955, + "loss": 4.868, + "mean_token_accuracy": 0.2413019374012947, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.685127592086792, + "epoch": 7.912763214439192, + "grad_norm": 1.3671875, + "learning_rate": 0.0001051782267823031, + "loss": 4.8558, + "mean_token_accuracy": 0.24108621031045913, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.721054267883301, + "epoch": 7.917060593038247, + "grad_norm": 1.3515625, + "learning_rate": 0.00010496030455719225, + "loss": 4.9251, + "mean_token_accuracy": 0.23336865305900573, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.724647521972656, + "epoch": 7.921357971637301, + "grad_norm": 1.34375, + "learning_rate": 0.00010474275363081193, + "loss": 4.9328, + "mean_token_accuracy": 0.23269153237342835, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.702741193771362, + "epoch": 7.925655350236356, + "grad_norm": 1.375, + "learning_rate": 0.0001045255744782064, + "loss": 4.9025, + "mean_token_accuracy": 0.24020729959011078, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.816455984115601, + "epoch": 7.92995272883541, + "grad_norm": 1.28125, + "learning_rate": 0.00010430876757360817, + "loss": 4.9837, + "mean_token_accuracy": 0.22814977616071702, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.668118476867676, + "epoch": 7.934250107434465, + "grad_norm": 1.359375, + "learning_rate": 0.00010409233339043694, + "loss": 4.8047, + "mean_token_accuracy": 0.24403645545244218, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.670865440368653, + "epoch": 7.93854748603352, + "grad_norm": 1.3359375, + "learning_rate": 0.00010387627240129838, + "loss": 4.8691, + "mean_token_accuracy": 0.23790572285652162, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.739948797225952, + "epoch": 7.942844864632574, + "grad_norm": 1.1953125, + "learning_rate": 0.00010366058507798326, + "loss": 4.9214, + "mean_token_accuracy": 0.2339615508913994, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.705602979660034, + "epoch": 7.947142243231629, + "grad_norm": 1.296875, + "learning_rate": 0.00010344527189146655, + "loss": 4.9528, + "mean_token_accuracy": 0.2274705156683922, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.739188241958618, + "epoch": 7.9514396218306835, + "grad_norm": 1.1875, + "learning_rate": 0.00010323033331190626, + "loss": 4.9274, + "mean_token_accuracy": 0.23373161852359772, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.76418023109436, + "epoch": 7.955737000429738, + "grad_norm": 1.3125, + "learning_rate": 0.00010301576980864228, + "loss": 4.8603, + "mean_token_accuracy": 0.2446628138422966, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.694305419921875, + "epoch": 7.960034379028793, + "grad_norm": 1.3671875, + "learning_rate": 0.00010280158185019547, + "loss": 4.9073, + "mean_token_accuracy": 0.24446062594652176, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.697159719467163, + "epoch": 7.964331757627847, + "grad_norm": 1.15625, + "learning_rate": 0.00010258776990426686, + "loss": 4.927, + "mean_token_accuracy": 0.24162409752607344, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.729753589630127, + "epoch": 7.968629136226902, + "grad_norm": 1.4375, + "learning_rate": 0.00010237433443773612, + "loss": 4.9118, + "mean_token_accuracy": 0.23850051164627076, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.655977869033814, + "epoch": 7.972926514825956, + "grad_norm": 1.203125, + "learning_rate": 0.00010216127591666115, + "loss": 4.9269, + "mean_token_accuracy": 0.24168841391801835, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.739932727813721, + "epoch": 7.977223893425011, + "grad_norm": 1.5234375, + "learning_rate": 0.00010194859480627648, + "loss": 4.9567, + "mean_token_accuracy": 0.2386748567223549, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.675134468078613, + "epoch": 7.981521272024065, + "grad_norm": 1.203125, + "learning_rate": 0.00010173629157099279, + "loss": 4.9575, + "mean_token_accuracy": 0.2281126633286476, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.714840936660766, + "epoch": 7.98581865062312, + "grad_norm": 1.15625, + "learning_rate": 0.00010152436667439537, + "loss": 4.9519, + "mean_token_accuracy": 0.23581907600164415, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.750794839859009, + "epoch": 7.9901160292221745, + "grad_norm": 1.3125, + "learning_rate": 0.00010131282057924345, + "loss": 4.888, + "mean_token_accuracy": 0.23815936595201492, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.780832004547119, + "epoch": 7.994413407821229, + "grad_norm": 1.25, + "learning_rate": 0.00010110165374746924, + "loss": 4.8951, + "mean_token_accuracy": 0.24371608346700668, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.744164609909058, + "epoch": 7.9987107864202835, + "grad_norm": 1.28125, + "learning_rate": 0.00010089086664017674, + "loss": 5.0412, + "mean_token_accuracy": 0.22926397770643234, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.742586241828071, + "epoch": 8.002578427159433, + "grad_norm": 1.296875, + "learning_rate": 0.00010068045971764067, + "loss": 4.8669, + "mean_token_accuracy": 0.240800850921207, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.752298831939697, + "epoch": 8.006875805758487, + "grad_norm": 1.3203125, + "learning_rate": 0.00010047043343930561, + "loss": 4.9556, + "mean_token_accuracy": 0.239510677754879, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.703397274017334, + "epoch": 8.011173184357542, + "grad_norm": 1.359375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7841, + "mean_token_accuracy": 0.2428373247385025, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.756609344482422, + "epoch": 8.015470562956596, + "grad_norm": 1.265625, + "learning_rate": 0.00010005152464886031, + "loss": 4.8276, + "mean_token_accuracy": 0.23863828033208848, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.721332359313965, + "epoch": 8.019767941555651, + "grad_norm": 1.21875, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2455083206295967, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.687017393112183, + "epoch": 8.024065320154705, + "grad_norm": 1.21875, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.2540111944079399, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.612176132202149, + "epoch": 8.02836269875376, + "grad_norm": 1.234375, + "learning_rate": 9.942602773296971e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.2532846137881279, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.7741395950317385, + "epoch": 8.032660077352816, + "grad_norm": 1.2578125, + "learning_rate": 9.921829492156223e-05, + "loss": 4.9684, + "mean_token_accuracy": 0.23141839802265168, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.75913782119751, + "epoch": 8.03695745595187, + "grad_norm": 1.5, + "learning_rate": 9.901094594713933e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23183894604444505, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.784180068969727, + "epoch": 8.041254834550925, + "grad_norm": 1.28125, + "learning_rate": 9.88039812624682e-05, + "loss": 4.9053, + "mean_token_accuracy": 0.23992706537246705, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.799221658706665, + "epoch": 8.045552213149978, + "grad_norm": 1.1328125, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2353417918086052, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.754740142822266, + "epoch": 8.049849591749034, + "grad_norm": 1.265625, + "learning_rate": 9.839120656925407e-05, + "loss": 4.9271, + "mean_token_accuracy": 0.2309979572892189, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.699716949462891, + "epoch": 8.054146970348087, + "grad_norm": 1.3046875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8744, + "mean_token_accuracy": 0.23718750476837158, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.7823670387268065, + "epoch": 8.058444348947143, + "grad_norm": 1.5, + "learning_rate": 9.797997444725745e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24111505299806596, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.69295825958252, + "epoch": 8.062741727546197, + "grad_norm": 1.28125, + "learning_rate": 9.77749379734506e-05, + "loss": 4.8774, + "mean_token_accuracy": 0.24546006321907043, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.734280729293824, + "epoch": 8.067039106145252, + "grad_norm": 1.3359375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23956651538610457, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.702370309829712, + "epoch": 8.071336484744306, + "grad_norm": 1.2734375, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.23692873120307922, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.742789077758789, + "epoch": 8.075633863343361, + "grad_norm": 1.265625, + "learning_rate": 9.716215227086997e-05, + "loss": 4.832, + "mean_token_accuracy": 0.24452268034219743, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.737786293029785, + "epoch": 8.079931241942415, + "grad_norm": 1.2421875, + "learning_rate": 9.695866642971098e-05, + "loss": 4.8761, + "mean_token_accuracy": 0.23521246314048766, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.735822296142578, + "epoch": 8.08422862054147, + "grad_norm": 1.3046875, + "learning_rate": 9.67555693596621e-05, + "loss": 4.922, + "mean_token_accuracy": 0.23624190241098403, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.697363328933716, + "epoch": 8.088525999140524, + "grad_norm": 1.2890625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24786596596240998, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.631302261352539, + "epoch": 8.09282337773958, + "grad_norm": 1.234375, + "learning_rate": 9.635054330597565e-05, + "loss": 4.7635, + "mean_token_accuracy": 0.2543473169207573, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.75023717880249, + "epoch": 8.097120756338633, + "grad_norm": 1.3515625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.24282941818237305, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.703547573089599, + "epoch": 8.101418134937688, + "grad_norm": 1.3359375, + "learning_rate": 9.594707764746881e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24557766914367676, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.64467306137085, + "epoch": 8.105715513536742, + "grad_norm": 1.2265625, + "learning_rate": 9.57459310682e-05, + "loss": 4.8587, + "mean_token_accuracy": 0.23592619597911835, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.759531688690186, + "epoch": 8.110012892135797, + "grad_norm": 1.2265625, + "learning_rate": 9.554517590817055e-05, + "loss": 4.9168, + "mean_token_accuracy": 0.22910912930965424, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.783081340789795, + "epoch": 8.114310270734851, + "grad_norm": 1.1953125, + "learning_rate": 9.534481260574944e-05, + "loss": 4.9094, + "mean_token_accuracy": 0.2321816936135292, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.742900657653808, + "epoch": 8.118607649333907, + "grad_norm": 1.25, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8874, + "mean_token_accuracy": 0.2349926143884659, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.771203088760376, + "epoch": 8.12290502793296, + "grad_norm": 1.3359375, + "learning_rate": 9.494526332292899e-05, + "loss": 4.9252, + "mean_token_accuracy": 0.23223545551300048, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.734961462020874, + "epoch": 8.127202406532016, + "grad_norm": 1.265625, + "learning_rate": 9.47460782149857e-05, + "loss": 4.9111, + "mean_token_accuracy": 0.2386125445365906, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.759470748901367, + "epoch": 8.13149978513107, + "grad_norm": 1.234375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.22731278389692305, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.70623517036438, + "epoch": 8.135797163730125, + "grad_norm": 1.2890625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24042012691497802, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.785218620300293, + "epoch": 8.140094542329178, + "grad_norm": 1.2421875, + "learning_rate": 9.415088624172997e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.23537793904542922, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.756191349029541, + "epoch": 8.144391920928234, + "grad_norm": 1.296875, + "learning_rate": 9.395327814490439e-05, + "loss": 4.931, + "mean_token_accuracy": 0.23400909453630447, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.731492424011231, + "epoch": 8.148689299527287, + "grad_norm": 1.3515625, + "learning_rate": 9.375606538175566e-05, + "loss": 4.8581, + "mean_token_accuracy": 0.24122172892093657, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.7561249256134035, + "epoch": 8.152986678126343, + "grad_norm": 1.2265625, + "learning_rate": 9.35592483829175e-05, + "loss": 4.9404, + "mean_token_accuracy": 0.23250404745340347, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.7169372081756595, + "epoch": 8.157284056725398, + "grad_norm": 1.3046875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.9114, + "mean_token_accuracy": 0.23848976343870162, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.70046215057373, + "epoch": 8.161581435324452, + "grad_norm": 1.3125, + "learning_rate": 9.316680339638664e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23490447849035262, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.563689900948121, + "eval_loss": 5.894437789916992, + "eval_mean_token_accuracy": 0.18221602075406024, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.101, + "eval_steps_per_second": 216.32, + "step": 9500 + }, + { + "entropy": 5.79104528427124, + "epoch": 8.165878813923507, + "grad_norm": 1.4140625, + "learning_rate": 9.297117626563687e-05, + "loss": 4.9393, + "mean_token_accuracy": 0.2395332857966423, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.732816505432129, + "epoch": 8.170176192522561, + "grad_norm": 1.2890625, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8743, + "mean_token_accuracy": 0.24095906615257262, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.6882086277008055, + "epoch": 8.174473571121617, + "grad_norm": 1.1796875, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.25059460252523424, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.7441253662109375, + "epoch": 8.17877094972067, + "grad_norm": 1.2421875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.8633, + "mean_token_accuracy": 0.23739856630563735, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.712777185440063, + "epoch": 8.183068328319726, + "grad_norm": 1.21875, + "learning_rate": 9.219264678327527e-05, + "loss": 4.8583, + "mean_token_accuracy": 0.24061242938041688, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.691803932189941, + "epoch": 8.18736570691878, + "grad_norm": 1.2890625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.8485, + "mean_token_accuracy": 0.24647330194711686, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.782800197601318, + "epoch": 8.191663085517835, + "grad_norm": 1.21875, + "learning_rate": 9.180577541342164e-05, + "loss": 4.964, + "mean_token_accuracy": 0.23249762654304504, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.714890718460083, + "epoch": 8.195960464116888, + "grad_norm": 1.328125, + "learning_rate": 9.161293955196648e-05, + "loss": 4.8682, + "mean_token_accuracy": 0.24433981478214264, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.783798694610596, + "epoch": 8.200257842715944, + "grad_norm": 1.328125, + "learning_rate": 9.142050413455214e-05, + "loss": 4.9286, + "mean_token_accuracy": 0.23019878268241883, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.750073575973511, + "epoch": 8.204555221314997, + "grad_norm": 1.2109375, + "learning_rate": 9.12284695813807e-05, + "loss": 4.9038, + "mean_token_accuracy": 0.24520579278469085, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.727174139022827, + "epoch": 8.208852599914053, + "grad_norm": 1.3359375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.8673, + "mean_token_accuracy": 0.24208441823720933, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.729988098144531, + "epoch": 8.213149978513107, + "grad_norm": 1.53125, + "learning_rate": 9.084560474419701e-05, + "loss": 4.8634, + "mean_token_accuracy": 0.2391197621822357, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.759287405014038, + "epoch": 8.217447357112162, + "grad_norm": 1.3671875, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8879, + "mean_token_accuracy": 0.23471090346574783, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.7283953666687015, + "epoch": 8.221744735711216, + "grad_norm": 1.3828125, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8983, + "mean_token_accuracy": 0.23679854422807695, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.797110462188721, + "epoch": 8.226042114310271, + "grad_norm": 1.375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9725, + "mean_token_accuracy": 0.22504952549934387, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.758984994888306, + "epoch": 8.230339492909325, + "grad_norm": 1.359375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9832, + "mean_token_accuracy": 0.23178735971450806, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.73343677520752, + "epoch": 8.23463687150838, + "grad_norm": 1.3671875, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.24406977444887162, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.700839996337891, + "epoch": 8.238934250107434, + "grad_norm": 1.3359375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.8358, + "mean_token_accuracy": 0.24239999651908875, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.75614857673645, + "epoch": 8.24323162870649, + "grad_norm": 1.25, + "learning_rate": 8.951826639309257e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23965495973825454, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.700466012954712, + "epoch": 8.247529007305543, + "grad_norm": 1.375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24223389178514482, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.698475551605225, + "epoch": 8.251826385904598, + "grad_norm": 1.359375, + "learning_rate": 8.914266583627684e-05, + "loss": 4.8291, + "mean_token_accuracy": 0.24232960790395736, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.786036348342895, + "epoch": 8.256123764503652, + "grad_norm": 1.4375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.905, + "mean_token_accuracy": 0.23367423713207244, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.71298189163208, + "epoch": 8.260421143102707, + "grad_norm": 1.296875, + "learning_rate": 8.876868863110013e-05, + "loss": 4.9215, + "mean_token_accuracy": 0.23382412493228913, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.784276628494263, + "epoch": 8.264718521701761, + "grad_norm": 1.234375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.8705, + "mean_token_accuracy": 0.23859835118055345, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.768792533874512, + "epoch": 8.269015900300817, + "grad_norm": 1.25, + "learning_rate": 8.839633804402747e-05, + "loss": 4.9358, + "mean_token_accuracy": 0.23131754696369172, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.767839860916138, + "epoch": 8.27331327889987, + "grad_norm": 1.4453125, + "learning_rate": 8.821077374916647e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.24630177915096282, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.680627489089966, + "epoch": 8.277610657498926, + "grad_norm": 1.375, + "learning_rate": 8.802561732731654e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.2398720934987068, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.7917811393737795, + "epoch": 8.281908036097981, + "grad_norm": 1.2265625, + "learning_rate": 8.784086918278534e-05, + "loss": 4.9316, + "mean_token_accuracy": 0.22891969829797745, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.692333650588989, + "epoch": 8.286205414697035, + "grad_norm": 1.2890625, + "learning_rate": 8.765652971898908e-05, + "loss": 4.8077, + "mean_token_accuracy": 0.24528621435165404, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.738155460357666, + "epoch": 8.29050279329609, + "grad_norm": 1.4140625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.9463, + "mean_token_accuracy": 0.24599668383598328, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.774512910842896, + "epoch": 8.294800171895144, + "grad_norm": 1.2265625, + "learning_rate": 8.728907844280254e-05, + "loss": 4.9443, + "mean_token_accuracy": 0.23179508298635482, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.730475330352784, + "epoch": 8.2990975504942, + "grad_norm": 1.421875, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8814, + "mean_token_accuracy": 0.2452605828642845, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.730258941650391, + "epoch": 8.303394929093253, + "grad_norm": 1.3671875, + "learning_rate": 8.692326670822207e-05, + "loss": 4.8157, + "mean_token_accuracy": 0.2448845013976097, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.740361738204956, + "epoch": 8.307692307692308, + "grad_norm": 1.2890625, + "learning_rate": 8.6740976668077e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.2443626791238785, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.683072328567505, + "epoch": 8.311989686291362, + "grad_norm": 1.4296875, + "learning_rate": 8.655909771039239e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.24255885183811188, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.764631128311157, + "epoch": 8.316287064890417, + "grad_norm": 1.5546875, + "learning_rate": 8.637763023231922e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.23544830977916717, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.629233980178833, + "epoch": 8.320584443489471, + "grad_norm": 1.3828125, + "learning_rate": 8.619657463010987e-05, + "loss": 4.7745, + "mean_token_accuracy": 0.24312002211809158, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.785550355911255, + "epoch": 8.324881822088527, + "grad_norm": 1.4296875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.9774, + "mean_token_accuracy": 0.23317618519067765, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.765936279296875, + "epoch": 8.32917920068758, + "grad_norm": 1.25, + "learning_rate": 8.583570063379487e-05, + "loss": 4.908, + "mean_token_accuracy": 0.24077682793140412, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.728990364074707, + "epoch": 8.333476579286636, + "grad_norm": 1.390625, + "learning_rate": 8.565588302769374e-05, + "loss": 4.848, + "mean_token_accuracy": 0.23626988530158996, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.673337030410766, + "epoch": 8.33777395788569, + "grad_norm": 1.3046875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.8609, + "mean_token_accuracy": 0.24892795085906982, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.765714406967163, + "epoch": 8.342071336484745, + "grad_norm": 1.2734375, + "learning_rate": 8.529748856285228e-05, + "loss": 4.8606, + "mean_token_accuracy": 0.2417272850871086, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.737577295303344, + "epoch": 8.346368715083798, + "grad_norm": 1.359375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.2430541396141052, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.78171010017395, + "epoch": 8.350666093682854, + "grad_norm": 1.4375, + "learning_rate": 8.494075103495245e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23714551329612732, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.782537889480591, + "epoch": 8.354963472281907, + "grad_norm": 1.3125, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8997, + "mean_token_accuracy": 0.22940298169851303, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.75561261177063, + "epoch": 8.359260850880963, + "grad_norm": 1.2890625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.9546, + "mean_token_accuracy": 0.22492529600858688, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.705477094650268, + "epoch": 8.363558229480017, + "grad_norm": 1.1171875, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8802, + "mean_token_accuracy": 0.2351899713277817, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.730382871627808, + "epoch": 8.367855608079072, + "grad_norm": 1.2578125, + "learning_rate": 8.423225923902608e-05, + "loss": 4.8545, + "mean_token_accuracy": 0.2428334668278694, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.678792095184326, + "epoch": 8.372152986678126, + "grad_norm": 1.3515625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.8015, + "mean_token_accuracy": 0.2536479622125626, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.7832560539245605, + "epoch": 8.376450365277181, + "grad_norm": 1.2265625, + "learning_rate": 8.388051115924781e-05, + "loss": 4.9787, + "mean_token_accuracy": 0.22999690473079681, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.733207416534424, + "epoch": 8.380747743876235, + "grad_norm": 1.328125, + "learning_rate": 8.370526292042774e-05, + "loss": 4.8385, + "mean_token_accuracy": 0.24650791734457017, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.665503215789795, + "epoch": 8.38504512247529, + "grad_norm": 1.5234375, + "learning_rate": 8.353043239285357e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.2454715371131897, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.736371994018555, + "epoch": 8.389342501074344, + "grad_norm": 1.4140625, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8971, + "mean_token_accuracy": 0.2377567008137703, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.739968490600586, + "epoch": 8.3936398796734, + "grad_norm": 1.2890625, + "learning_rate": 8.318202599757008e-05, + "loss": 4.9148, + "mean_token_accuracy": 0.23634277582168578, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.708938121795654, + "epoch": 8.397937258272453, + "grad_norm": 1.3671875, + "learning_rate": 8.30084508906411e-05, + "loss": 4.8183, + "mean_token_accuracy": 0.24032998383045195, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.693941688537597, + "epoch": 8.402234636871508, + "grad_norm": 1.3828125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8933, + "mean_token_accuracy": 0.2311558097600937, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.720448160171509, + "epoch": 8.406532015470564, + "grad_norm": 1.2734375, + "learning_rate": 8.266255875330095e-05, + "loss": 4.8376, + "mean_token_accuracy": 0.24367564618587495, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.707212591171265, + "epoch": 8.410829394069617, + "grad_norm": 1.359375, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8865, + "mean_token_accuracy": 0.23894913047552108, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.717279958724975, + "epoch": 8.415126772668673, + "grad_norm": 1.21875, + "learning_rate": 8.231834656742402e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2380632221698761, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.745273447036743, + "epoch": 8.419424151267727, + "grad_norm": 1.359375, + "learning_rate": 8.214687139638494e-05, + "loss": 4.9124, + "mean_token_accuracy": 0.24023134857416154, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.7758644104003904, + "epoch": 8.423721529866782, + "grad_norm": 1.453125, + "learning_rate": 8.197581733949597e-05, + "loss": 4.8666, + "mean_token_accuracy": 0.25315709263086317, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.774426078796386, + "epoch": 8.428018908465836, + "grad_norm": 1.4609375, + "learning_rate": 8.180518477027083e-05, + "loss": 4.8961, + "mean_token_accuracy": 0.23910606354475022, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.620084571838379, + "epoch": 8.432316287064891, + "grad_norm": 1.28125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.24886348992586135, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.8178997993469235, + "epoch": 8.436613665663945, + "grad_norm": 1.265625, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9902, + "mean_token_accuracy": 0.2252660185098648, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.741954326629639, + "epoch": 8.440911044263, + "grad_norm": 1.4140625, + "learning_rate": 8.129581970990507e-05, + "loss": 4.8553, + "mean_token_accuracy": 0.24823236614465713, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.732809400558471, + "epoch": 8.445208422862054, + "grad_norm": 1.4140625, + "learning_rate": 8.11268768080528e-05, + "loss": 4.8564, + "mean_token_accuracy": 0.23900128602981568, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.7832074642181395, + "epoch": 8.44950580146111, + "grad_norm": 1.4609375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.9673, + "mean_token_accuracy": 0.22997304052114487, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.718025875091553, + "epoch": 8.453803180060163, + "grad_norm": 1.46875, + "learning_rate": 8.079026139655946e-05, + "loss": 4.9255, + "mean_token_accuracy": 0.23200517892837524, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.685693693161011, + "epoch": 8.458100558659218, + "grad_norm": 1.296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.8057, + "mean_token_accuracy": 0.2456534430384636, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.726854228973389, + "epoch": 8.462397937258272, + "grad_norm": 1.46875, + "learning_rate": 8.04553422899167e-05, + "loss": 4.8925, + "mean_token_accuracy": 0.23469093143939973, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.708572816848755, + "epoch": 8.466695315857327, + "grad_norm": 1.2890625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.946, + "mean_token_accuracy": 0.23586695939302443, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.7173912525177, + "epoch": 8.470992694456381, + "grad_norm": 1.3125, + "learning_rate": 8.01221224134408e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.24219889491796492, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.743465614318848, + "epoch": 8.475290073055437, + "grad_norm": 1.3671875, + "learning_rate": 7.995615059661907e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.2368515193462372, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.759069204330444, + "epoch": 8.47958745165449, + "grad_norm": 1.3359375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.904, + "mean_token_accuracy": 0.24082816541194915, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.689574384689331, + "epoch": 8.483884830253546, + "grad_norm": 1.4375, + "learning_rate": 7.962548501788811e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.24400141090154648, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.72466893196106, + "epoch": 8.4881822088526, + "grad_norm": 1.390625, + "learning_rate": 7.946079197802028e-05, + "loss": 4.9225, + "mean_token_accuracy": 0.23353277146816254, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.713424777984619, + "epoch": 8.492479587451655, + "grad_norm": 1.5, + "learning_rate": 7.929652591762636e-05, + "loss": 4.911, + "mean_token_accuracy": 0.2364127442240715, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.730654716491699, + "epoch": 8.496776966050708, + "grad_norm": 1.4296875, + "learning_rate": 7.913268719539785e-05, + "loss": 4.9171, + "mean_token_accuracy": 0.2429963693022728, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.689770078659057, + "epoch": 8.501074344649764, + "grad_norm": 1.359375, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7824, + "mean_token_accuracy": 0.2481196016073227, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.751080274581909, + "epoch": 8.505371723248818, + "grad_norm": 1.25, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8956, + "mean_token_accuracy": 0.24801230430603027, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.73831958770752, + "epoch": 8.509669101847873, + "grad_norm": 1.296875, + "learning_rate": 7.864373863061717e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.24250307977199553, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.7382752895355225, + "epoch": 8.513966480446927, + "grad_norm": 1.4453125, + "learning_rate": 7.848161282929006e-05, + "loss": 4.8881, + "mean_token_accuracy": 0.2407060906291008, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.776788902282715, + "epoch": 8.518263859045982, + "grad_norm": 1.3671875, + "learning_rate": 7.831991614557274e-05, + "loss": 4.903, + "mean_token_accuracy": 0.23019613772630693, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.7528174877166744, + "epoch": 8.522561237645036, + "grad_norm": 1.359375, + "learning_rate": 7.815864893254619e-05, + "loss": 4.891, + "mean_token_accuracy": 0.2360119715332985, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.7316086769104, + "epoch": 8.526858616244091, + "grad_norm": 1.3203125, + "learning_rate": 7.799781154235361e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.24154060184955597, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.808560800552368, + "epoch": 8.531155994843147, + "grad_norm": 1.453125, + "learning_rate": 7.783740432619954e-05, + "loss": 4.9671, + "mean_token_accuracy": 0.22287265360355377, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.714200210571289, + "epoch": 8.5354533734422, + "grad_norm": 1.3828125, + "learning_rate": 7.767742763434922e-05, + "loss": 4.9079, + "mean_token_accuracy": 0.23346690237522125, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.666274166107177, + "epoch": 8.539750752041256, + "grad_norm": 1.28125, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24585407674312593, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.755437517166138, + "epoch": 8.54404813064031, + "grad_norm": 1.390625, + "learning_rate": 7.735876721991945e-05, + "loss": 4.9507, + "mean_token_accuracy": 0.23148660957813263, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.743089199066162, + "epoch": 8.548345509239365, + "grad_norm": 1.2265625, + "learning_rate": 7.720008419316708e-05, + "loss": 4.9242, + "mean_token_accuracy": 0.2357686460018158, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.700260353088379, + "epoch": 8.552642887838418, + "grad_norm": 1.2734375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.8213, + "mean_token_accuracy": 0.24597719609737395, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.662213611602783, + "epoch": 8.556940266437474, + "grad_norm": 1.2421875, + "learning_rate": 7.688401423308799e-05, + "loss": 4.8233, + "mean_token_accuracy": 0.2466511309146881, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.671461486816407, + "epoch": 8.561237645036528, + "grad_norm": 1.4296875, + "learning_rate": 7.672662798993174e-05, + "loss": 4.8247, + "mean_token_accuracy": 0.2511079117655754, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.7380656719207765, + "epoch": 8.565535023635583, + "grad_norm": 1.328125, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8936, + "mean_token_accuracy": 0.242263326048851, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.707980823516846, + "epoch": 8.569832402234637, + "grad_norm": 1.328125, + "learning_rate": 7.641315469572841e-05, + "loss": 4.8431, + "mean_token_accuracy": 0.24148163497447966, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.769561052322388, + "epoch": 8.574129780833692, + "grad_norm": 1.1953125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.24106623828411103, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.753009605407715, + "epoch": 8.578427159432746, + "grad_norm": 1.3359375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.996, + "mean_token_accuracy": 0.2327938124537468, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.748133611679077, + "epoch": 8.582724538031801, + "grad_norm": 1.3984375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.9078, + "mean_token_accuracy": 0.23580171167850494, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.725798463821411, + "epoch": 8.587021916630855, + "grad_norm": 1.4140625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.8523, + "mean_token_accuracy": 0.2376137688755989, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.7189679622650145, + "epoch": 8.59131929522991, + "grad_norm": 1.4765625, + "learning_rate": 7.563706600833737e-05, + "loss": 4.9063, + "mean_token_accuracy": 0.2349215939640999, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.534239016137682, + "eval_loss": 5.892942428588867, + "eval_mean_token_accuracy": 0.18259063309377377, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0512, + "eval_samples_per_second": 1730.231, + "eval_steps_per_second": 216.462, + "step": 10000 + }, + { + "entropy": 5.641706037521362, + "epoch": 8.595616673828964, + "grad_norm": 1.4921875, + "learning_rate": 7.548315290675886e-05, + "loss": 4.8364, + "mean_token_accuracy": 0.24370339065790175, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.677710723876953, + "epoch": 8.59991405242802, + "grad_norm": 1.265625, + "learning_rate": 7.532967547022825e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24187945276498796, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.703868246078491, + "epoch": 8.604211431027073, + "grad_norm": 1.4296875, + "learning_rate": 7.517663403387874e-05, + "loss": 4.9387, + "mean_token_accuracy": 0.24121222794055938, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.684072017669678, + "epoch": 8.608508809626128, + "grad_norm": 1.390625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.8142, + "mean_token_accuracy": 0.24965679943561553, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.795586156845093, + "epoch": 8.612806188225182, + "grad_norm": 1.2421875, + "learning_rate": 7.487186049749618e-05, + "loss": 4.94, + "mean_token_accuracy": 0.2302323043346405, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.720360326766968, + "epoch": 8.617103566824238, + "grad_norm": 1.296875, + "learning_rate": 7.472012906296658e-05, + "loss": 4.8775, + "mean_token_accuracy": 0.2409013941884041, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.712895488739013, + "epoch": 8.621400945423291, + "grad_norm": 1.140625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.8676, + "mean_token_accuracy": 0.24006159454584122, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.727213191986084, + "epoch": 8.625698324022347, + "grad_norm": 1.3515625, + "learning_rate": 7.441797851783402e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23364521861076354, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.717015218734741, + "epoch": 8.6299957026214, + "grad_norm": 1.3984375, + "learning_rate": 7.426756006700716e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.2373197704553604, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.744679689407349, + "epoch": 8.634293081220456, + "grad_norm": 1.5078125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.9657, + "mean_token_accuracy": 0.233807535469532, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.769802045822144, + "epoch": 8.63859045981951, + "grad_norm": 1.375, + "learning_rate": 7.396803845110032e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.24051254242658615, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.7355225563049315, + "epoch": 8.642887838418565, + "grad_norm": 1.34375, + "learning_rate": 7.381893594005585e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23913937211036682, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.714138078689575, + "epoch": 8.647185217017618, + "grad_norm": 1.359375, + "learning_rate": 7.367027272804387e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23634449243545533, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.708312606811523, + "epoch": 8.651482595616674, + "grad_norm": 1.3203125, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.2456353023648262, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.745303821563721, + "epoch": 8.65577997421573, + "grad_norm": 1.171875, + "learning_rate": 7.337426549864175e-05, + "loss": 4.9334, + "mean_token_accuracy": 0.2344992771744728, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.734985256195069, + "epoch": 8.660077352814783, + "grad_norm": 1.234375, + "learning_rate": 7.322692212761306e-05, + "loss": 4.9354, + "mean_token_accuracy": 0.2361741617321968, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.7485943794250485, + "epoch": 8.664374731413837, + "grad_norm": 1.40625, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8799, + "mean_token_accuracy": 0.23693183660507203, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.751676893234253, + "epoch": 8.668672110012892, + "grad_norm": 1.375, + "learning_rate": 7.29335574815948e-05, + "loss": 4.8746, + "mean_token_accuracy": 0.2360835403203964, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.717150449752808, + "epoch": 8.672969488611947, + "grad_norm": 1.2421875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8798, + "mean_token_accuracy": 0.23987387418746947, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.727327728271485, + "epoch": 8.677266867211001, + "grad_norm": 1.3828125, + "learning_rate": 7.264195776399386e-05, + "loss": 4.9107, + "mean_token_accuracy": 0.2364715039730072, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.72551212310791, + "epoch": 8.681564245810057, + "grad_norm": 1.359375, + "learning_rate": 7.249682054987381e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24308911412954332, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.7901074409484865, + "epoch": 8.68586162440911, + "grad_norm": 1.2734375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.9607, + "mean_token_accuracy": 0.22461001873016356, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.70100040435791, + "epoch": 8.690159003008166, + "grad_norm": 1.28125, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8989, + "mean_token_accuracy": 0.24264244586229325, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.7278729438781735, + "epoch": 8.69445638160722, + "grad_norm": 1.375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7711, + "mean_token_accuracy": 0.24757508635520936, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.711657571792602, + "epoch": 8.698753760206275, + "grad_norm": 1.328125, + "learning_rate": 7.192069670816359e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.23145184218883513, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.706142997741699, + "epoch": 8.703051138805328, + "grad_norm": 1.4921875, + "learning_rate": 7.177777357395912e-05, + "loss": 4.869, + "mean_token_accuracy": 0.24197168052196502, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.698826265335083, + "epoch": 8.707348517404384, + "grad_norm": 1.375, + "learning_rate": 7.163529419587002e-05, + "loss": 4.8753, + "mean_token_accuracy": 0.23961719274520873, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.773096561431885, + "epoch": 8.711645896003438, + "grad_norm": 1.328125, + "learning_rate": 7.149325888501418e-05, + "loss": 4.9558, + "mean_token_accuracy": 0.23473044633865356, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.736195468902588, + "epoch": 8.715943274602493, + "grad_norm": 1.234375, + "learning_rate": 7.135166795153992e-05, + "loss": 4.8505, + "mean_token_accuracy": 0.24684498012065886, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.727258586883545, + "epoch": 8.720240653201547, + "grad_norm": 1.359375, + "learning_rate": 7.121052170462541e-05, + "loss": 4.9381, + "mean_token_accuracy": 0.23492728620767594, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.653642177581787, + "epoch": 8.724538031800602, + "grad_norm": 1.4453125, + "learning_rate": 7.106982045247754e-05, + "loss": 4.7844, + "mean_token_accuracy": 0.2551065072417259, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.728663206100464, + "epoch": 8.728835410399656, + "grad_norm": 1.265625, + "learning_rate": 7.092956450233162e-05, + "loss": 4.9391, + "mean_token_accuracy": 0.24017365425825118, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.741170835494995, + "epoch": 8.733132788998711, + "grad_norm": 1.265625, + "learning_rate": 7.078975416045055e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.23747024983167647, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.669637441635132, + "epoch": 8.737430167597765, + "grad_norm": 1.53125, + "learning_rate": 7.065038973212424e-05, + "loss": 4.7584, + "mean_token_accuracy": 0.24721809923648835, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.723529863357544, + "epoch": 8.74172754619682, + "grad_norm": 1.4375, + "learning_rate": 7.051147152166896e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24353028535842897, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.661523246765137, + "epoch": 8.746024924795874, + "grad_norm": 1.140625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.8357, + "mean_token_accuracy": 0.246757473051548, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.713498783111572, + "epoch": 8.75032230339493, + "grad_norm": 1.3203125, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.23697651624679567, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.72203483581543, + "epoch": 8.754619681993983, + "grad_norm": 1.21875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.8597, + "mean_token_accuracy": 0.24536042660474777, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.74442343711853, + "epoch": 8.758917060593038, + "grad_norm": 1.265625, + "learning_rate": 6.996026691076531e-05, + "loss": 5.0015, + "mean_token_accuracy": 0.22911013662815094, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.722520256042481, + "epoch": 8.763214439192092, + "grad_norm": 1.2890625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24856774657964706, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.815678882598877, + "epoch": 8.767511817791148, + "grad_norm": 1.3515625, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.22747452706098556, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.694711017608642, + "epoch": 8.771809196390201, + "grad_norm": 1.34375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24590101689100266, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.781192684173584, + "epoch": 8.776106574989257, + "grad_norm": 1.359375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.951, + "mean_token_accuracy": 0.22873226106166838, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.702016830444336, + "epoch": 8.780403953588312, + "grad_norm": 1.3359375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.8938, + "mean_token_accuracy": 0.23844954818487168, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.728512763977051, + "epoch": 8.784701332187366, + "grad_norm": 1.359375, + "learning_rate": 6.914689765206899e-05, + "loss": 4.7987, + "mean_token_accuracy": 0.24630094319581985, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.751327037811279, + "epoch": 8.78899871078642, + "grad_norm": 1.421875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.8531, + "mean_token_accuracy": 0.24052831828594207, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.749263572692871, + "epoch": 8.793296089385475, + "grad_norm": 1.1640625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.9199, + "mean_token_accuracy": 0.23125884532928467, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.678548955917359, + "epoch": 8.79759346798453, + "grad_norm": 1.3046875, + "learning_rate": 6.874627729967086e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.24363392889499663, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.715464544296265, + "epoch": 8.801890846583584, + "grad_norm": 1.203125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23847707211971284, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.643958950042725, + "epoch": 8.80618822518264, + "grad_norm": 1.453125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24321892559528352, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.664030075073242, + "epoch": 8.810485603781693, + "grad_norm": 1.3984375, + "learning_rate": 6.834971032259537e-05, + "loss": 4.8397, + "mean_token_accuracy": 0.24072007983922958, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.690808057785034, + "epoch": 8.814782982380748, + "grad_norm": 1.390625, + "learning_rate": 6.821842342962786e-05, + "loss": 4.8475, + "mean_token_accuracy": 0.24447838515043258, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.677191877365113, + "epoch": 8.819080360979802, + "grad_norm": 1.359375, + "learning_rate": 6.808758806497375e-05, + "loss": 4.8447, + "mean_token_accuracy": 0.2524683356285095, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.745322799682617, + "epoch": 8.823377739578858, + "grad_norm": 1.375, + "learning_rate": 6.795720451432509e-05, + "loss": 4.8406, + "mean_token_accuracy": 0.24409451335668564, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.740674781799316, + "epoch": 8.827675118177911, + "grad_norm": 1.28125, + "learning_rate": 6.782727306238749e-05, + "loss": 4.9852, + "mean_token_accuracy": 0.22357712537050248, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.644893312454224, + "epoch": 8.831972496776967, + "grad_norm": 1.421875, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7822, + "mean_token_accuracy": 0.24160815626382828, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.71365647315979, + "epoch": 8.83626987537602, + "grad_norm": 1.3046875, + "learning_rate": 6.756876758853104e-05, + "loss": 4.8656, + "mean_token_accuracy": 0.2417924225330353, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.710398960113525, + "epoch": 8.840567253975076, + "grad_norm": 1.5546875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.8521, + "mean_token_accuracy": 0.2444690704345703, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.7455525398254395, + "epoch": 8.84486463257413, + "grad_norm": 1.3671875, + "learning_rate": 6.731207390129366e-05, + "loss": 4.9434, + "mean_token_accuracy": 0.23295524716377258, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.734651517868042, + "epoch": 8.849162011173185, + "grad_norm": 1.1875, + "learning_rate": 6.7184407178921e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23881399929523467, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.749492120742798, + "epoch": 8.853459389772238, + "grad_norm": 1.4453125, + "learning_rate": 6.70571942427399e-05, + "loss": 4.9559, + "mean_token_accuracy": 0.23205118924379348, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.75962724685669, + "epoch": 8.857756768371294, + "grad_norm": 1.3515625, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.23050196915864946, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.70353946685791, + "epoch": 8.862054146970348, + "grad_norm": 1.328125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.929, + "mean_token_accuracy": 0.23658778071403502, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.786187076568604, + "epoch": 8.866351525569403, + "grad_norm": 1.2421875, + "learning_rate": 6.667828092420977e-05, + "loss": 4.9266, + "mean_token_accuracy": 0.2431049346923828, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.698891353607178, + "epoch": 8.870648904168457, + "grad_norm": 1.2734375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.8974, + "mean_token_accuracy": 0.24344006329774856, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.65026216506958, + "epoch": 8.874946282767512, + "grad_norm": 1.2890625, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.2407523512840271, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.705488920211792, + "epoch": 8.879243661366566, + "grad_norm": 1.3046875, + "learning_rate": 6.630346162204069e-05, + "loss": 4.8524, + "mean_token_accuracy": 0.2402828097343445, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.685500717163086, + "epoch": 8.883541039965621, + "grad_norm": 1.484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.7906, + "mean_token_accuracy": 0.2516307681798935, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.78669924736023, + "epoch": 8.887838418564675, + "grad_norm": 1.515625, + "learning_rate": 6.605586018168558e-05, + "loss": 4.9008, + "mean_token_accuracy": 0.24112697392702104, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.7594961643219, + "epoch": 8.89213579716373, + "grad_norm": 1.25, + "learning_rate": 6.593274370232191e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23973492234945298, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.6986674785614015, + "epoch": 8.896433175762784, + "grad_norm": 1.265625, + "learning_rate": 6.581008374228255e-05, + "loss": 4.8829, + "mean_token_accuracy": 0.2380861073732376, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.688055086135864, + "epoch": 8.90073055436184, + "grad_norm": 1.3125, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8894, + "mean_token_accuracy": 0.239205239713192, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6841371059417725, + "epoch": 8.905027932960895, + "grad_norm": 1.28125, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7971, + "mean_token_accuracy": 0.24701832830905915, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.7468496799469, + "epoch": 8.909325311559948, + "grad_norm": 1.3046875, + "learning_rate": 6.544484565152577e-05, + "loss": 4.8709, + "mean_token_accuracy": 0.24514500945806503, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.707927703857422, + "epoch": 8.913622690159002, + "grad_norm": 1.484375, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8844, + "mean_token_accuracy": 0.24281774312257767, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.734713888168335, + "epoch": 8.917920068758058, + "grad_norm": 1.171875, + "learning_rate": 6.520364107143898e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.24035619348287582, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.757951641082764, + "epoch": 8.922217447357113, + "grad_norm": 1.3046875, + "learning_rate": 6.50837258170615e-05, + "loss": 4.914, + "mean_token_accuracy": 0.2439088225364685, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.776555347442627, + "epoch": 8.926514825956167, + "grad_norm": 1.2890625, + "learning_rate": 6.496426893592397e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.22435057163238525, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.771154832839966, + "epoch": 8.930812204555222, + "grad_norm": 1.421875, + "learning_rate": 6.484527068887258e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.22901748716831208, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.7181800365447994, + "epoch": 8.935109583154276, + "grad_norm": 1.4453125, + "learning_rate": 6.472673133575181e-05, + "loss": 4.8585, + "mean_token_accuracy": 0.23982157111167907, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.724564266204834, + "epoch": 8.939406961753331, + "grad_norm": 1.4140625, + "learning_rate": 6.460865113540437e-05, + "loss": 4.8424, + "mean_token_accuracy": 0.24264838844537734, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.750702953338623, + "epoch": 8.943704340352385, + "grad_norm": 1.34375, + "learning_rate": 6.449103034567011e-05, + "loss": 4.8413, + "mean_token_accuracy": 0.24670601040124893, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.744922637939453, + "epoch": 8.94800171895144, + "grad_norm": 1.375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.9222, + "mean_token_accuracy": 0.23244228661060334, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.760837602615356, + "epoch": 8.952299097550494, + "grad_norm": 1.359375, + "learning_rate": 6.425716802438479e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23593176901340485, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.6986171245574955, + "epoch": 8.95659647614955, + "grad_norm": 1.3984375, + "learning_rate": 6.414092700349548e-05, + "loss": 4.8862, + "mean_token_accuracy": 0.2431177631020546, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.7580320835113525, + "epoch": 8.960893854748603, + "grad_norm": 1.390625, + "learning_rate": 6.402514641454192e-05, + "loss": 4.9962, + "mean_token_accuracy": 0.22172346264123916, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.723747587203979, + "epoch": 8.965191233347658, + "grad_norm": 1.265625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8953, + "mean_token_accuracy": 0.23904290795326233, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.672523498535156, + "epoch": 8.969488611946712, + "grad_norm": 1.46875, + "learning_rate": 6.379496754271044e-05, + "loss": 4.7194, + "mean_token_accuracy": 0.26136820316314696, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.65635724067688, + "epoch": 8.973785990545768, + "grad_norm": 1.4375, + "learning_rate": 6.368056976245107e-05, + "loss": 4.7667, + "mean_token_accuracy": 0.25870931446552276, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.698014831542968, + "epoch": 8.978083369144821, + "grad_norm": 1.421875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.8663, + "mean_token_accuracy": 0.24248220026493073, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.697885036468506, + "epoch": 8.982380747743877, + "grad_norm": 1.3828125, + "learning_rate": 6.345315876223977e-05, + "loss": 4.8258, + "mean_token_accuracy": 0.24143291264772415, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.692233467102051, + "epoch": 8.98667812634293, + "grad_norm": 1.3359375, + "learning_rate": 6.334014603886256e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24324591606855392, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.684511327743531, + "epoch": 8.990975504941986, + "grad_norm": 1.4296875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24234582334756852, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.649232959747314, + "epoch": 8.99527288354104, + "grad_norm": 1.3671875, + "learning_rate": 6.311550737943753e-05, + "loss": 4.8331, + "mean_token_accuracy": 0.24488990157842636, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.7437886714935305, + "epoch": 8.999570262140095, + "grad_norm": 1.34375, + "learning_rate": 6.300388193391075e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2353186011314392, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.738433043162028, + "epoch": 9.003437902879243, + "grad_norm": 1.2734375, + "learning_rate": 6.289271940317174e-05, + "loss": 4.9605, + "mean_token_accuracy": 0.22919231487645042, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.701286554336548, + "epoch": 9.007735281478299, + "grad_norm": 1.328125, + "learning_rate": 6.278202002995497e-05, + "loss": 4.8759, + "mean_token_accuracy": 0.238884337246418, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.717434740066528, + "epoch": 9.012032660077352, + "grad_norm": 1.40625, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7925, + "mean_token_accuracy": 0.2569643914699554, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.755046939849853, + "epoch": 9.016330038676408, + "grad_norm": 1.3515625, + "learning_rate": 6.256201172196921e-05, + "loss": 4.8559, + "mean_token_accuracy": 0.2463230550289154, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.735121393203736, + "epoch": 9.020627417275461, + "grad_norm": 1.28125, + "learning_rate": 6.245270326761034e-05, + "loss": 4.8732, + "mean_token_accuracy": 0.23314425498247146, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.559686202723701, + "eval_loss": 5.891933917999268, + "eval_mean_token_accuracy": 0.18310657089894955, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0537, + "eval_samples_per_second": 1728.062, + "eval_steps_per_second": 216.19, + "step": 10500 + }, + { + "entropy": 5.768205690383911, + "epoch": 9.024924795874517, + "grad_norm": 1.4375, + "learning_rate": 6.234385893159311e-05, + "loss": 4.8745, + "mean_token_accuracy": 0.24339525550603866, + "num_tokens": 19095610.0, + "step": 10505 + }, + { + "entropy": 5.7007143020629885, + "epoch": 9.02922217447357, + "grad_norm": 1.390625, + "learning_rate": 6.223547895159009e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.25003656595945356, + "num_tokens": 19103649.0, + "step": 10510 + }, + { + "entropy": 5.641485261917114, + "epoch": 9.033519553072626, + "grad_norm": 1.3046875, + "learning_rate": 6.212756356425978e-05, + "loss": 4.7692, + "mean_token_accuracy": 0.25189306139945983, + "num_tokens": 19112426.0, + "step": 10515 + }, + { + "entropy": 5.722223091125488, + "epoch": 9.03781693167168, + "grad_norm": 1.3359375, + "learning_rate": 6.202011300524623e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.2431654766201973, + "num_tokens": 19121307.0, + "step": 10520 + }, + { + "entropy": 5.768562936782837, + "epoch": 9.042114310270735, + "grad_norm": 1.2578125, + "learning_rate": 6.191312750917855e-05, + "loss": 4.9119, + "mean_token_accuracy": 0.24403591454029083, + "num_tokens": 19129728.0, + "step": 10525 + }, + { + "entropy": 5.696633958816529, + "epoch": 9.046411688869789, + "grad_norm": 1.375, + "learning_rate": 6.180660730967036e-05, + "loss": 4.8368, + "mean_token_accuracy": 0.24488697648048402, + "num_tokens": 19139931.0, + "step": 10530 + }, + { + "entropy": 5.760554838180542, + "epoch": 9.050709067468844, + "grad_norm": 1.34375, + "learning_rate": 6.170055263931912e-05, + "loss": 4.8218, + "mean_token_accuracy": 0.24506218880414962, + "num_tokens": 19148711.0, + "step": 10535 + }, + { + "entropy": 5.7619397163391115, + "epoch": 9.055006446067898, + "grad_norm": 1.375, + "learning_rate": 6.159496372970584e-05, + "loss": 4.8071, + "mean_token_accuracy": 0.24310505241155625, + "num_tokens": 19156937.0, + "step": 10540 + }, + { + "entropy": 5.677298069000244, + "epoch": 9.059303824666953, + "grad_norm": 1.2265625, + "learning_rate": 6.148984081139454e-05, + "loss": 4.8373, + "mean_token_accuracy": 0.2453565239906311, + "num_tokens": 19166449.0, + "step": 10545 + }, + { + "entropy": 5.751143884658814, + "epoch": 9.063601203266007, + "grad_norm": 1.1328125, + "learning_rate": 6.138518411393163e-05, + "loss": 4.9664, + "mean_token_accuracy": 0.23417426645755768, + "num_tokens": 19175757.0, + "step": 10550 + }, + { + "entropy": 5.7382289409637455, + "epoch": 9.067898581865062, + "grad_norm": 1.390625, + "learning_rate": 6.128099386584548e-05, + "loss": 4.8604, + "mean_token_accuracy": 0.2502607494592667, + "num_tokens": 19184638.0, + "step": 10555 + }, + { + "entropy": 5.714648246765137, + "epoch": 9.072195960464116, + "grad_norm": 1.390625, + "learning_rate": 6.1177270294646e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24113665670156478, + "num_tokens": 19193791.0, + "step": 10560 + }, + { + "entropy": 5.68681697845459, + "epoch": 9.076493339063171, + "grad_norm": 1.34375, + "learning_rate": 6.107401362682401e-05, + "loss": 4.9186, + "mean_token_accuracy": 0.23942002207040786, + "num_tokens": 19202595.0, + "step": 10565 + }, + { + "entropy": 5.715084075927734, + "epoch": 9.080790717662227, + "grad_norm": 1.2265625, + "learning_rate": 6.097122408785076e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24075437635183333, + "num_tokens": 19211994.0, + "step": 10570 + }, + { + "entropy": 5.72618145942688, + "epoch": 9.08508809626128, + "grad_norm": 1.3046875, + "learning_rate": 6.086890190217752e-05, + "loss": 4.8462, + "mean_token_accuracy": 0.2431514397263527, + "num_tokens": 19220588.0, + "step": 10575 + }, + { + "entropy": 5.6821825981140135, + "epoch": 9.089385474860336, + "grad_norm": 1.3984375, + "learning_rate": 6.076704729323507e-05, + "loss": 4.7938, + "mean_token_accuracy": 0.24978432357311248, + "num_tokens": 19229679.0, + "step": 10580 + }, + { + "entropy": 5.72755184173584, + "epoch": 9.09368285345939, + "grad_norm": 1.3359375, + "learning_rate": 6.0665660483433173e-05, + "loss": 4.9212, + "mean_token_accuracy": 0.23904457241296767, + "num_tokens": 19239269.0, + "step": 10585 + }, + { + "entropy": 5.739861583709716, + "epoch": 9.097980232058445, + "grad_norm": 1.375, + "learning_rate": 6.05647416941601e-05, + "loss": 4.9112, + "mean_token_accuracy": 0.24730296581983566, + "num_tokens": 19249046.0, + "step": 10590 + }, + { + "entropy": 5.682226276397705, + "epoch": 9.102277610657499, + "grad_norm": 1.34375, + "learning_rate": 6.046429114578212e-05, + "loss": 4.784, + "mean_token_accuracy": 0.2475551262497902, + "num_tokens": 19257398.0, + "step": 10595 + }, + { + "entropy": 5.744178533554077, + "epoch": 9.106574989256554, + "grad_norm": 1.34375, + "learning_rate": 6.0364309057643084e-05, + "loss": 4.8856, + "mean_token_accuracy": 0.2361735597252846, + "num_tokens": 19266619.0, + "step": 10600 + }, + { + "entropy": 5.779590082168579, + "epoch": 9.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 6.0264795648063904e-05, + "loss": 4.8832, + "mean_token_accuracy": 0.24283566623926162, + "num_tokens": 19275837.0, + "step": 10605 + }, + { + "entropy": 5.7637005805969235, + "epoch": 9.115169746454663, + "grad_norm": 1.203125, + "learning_rate": 6.0165751134342155e-05, + "loss": 4.8548, + "mean_token_accuracy": 0.2424402043223381, + "num_tokens": 19284745.0, + "step": 10610 + }, + { + "entropy": 5.722152042388916, + "epoch": 9.119467125053717, + "grad_norm": 1.203125, + "learning_rate": 6.006717573275138e-05, + "loss": 4.8022, + "mean_token_accuracy": 0.24550892412662506, + "num_tokens": 19293956.0, + "step": 10615 + }, + { + "entropy": 5.700108480453491, + "epoch": 9.123764503652772, + "grad_norm": 1.09375, + "learning_rate": 5.996906965854093e-05, + "loss": 4.9131, + "mean_token_accuracy": 0.23563133031129838, + "num_tokens": 19303629.0, + "step": 10620 + }, + { + "entropy": 5.715306329727173, + "epoch": 9.128061882251826, + "grad_norm": 1.421875, + "learning_rate": 5.987143312593522e-05, + "loss": 4.9243, + "mean_token_accuracy": 0.23819719702005387, + "num_tokens": 19312458.0, + "step": 10625 + }, + { + "entropy": 5.679522514343262, + "epoch": 9.132359260850881, + "grad_norm": 1.3671875, + "learning_rate": 5.977426634813338e-05, + "loss": 4.8295, + "mean_token_accuracy": 0.2426922008395195, + "num_tokens": 19321428.0, + "step": 10630 + }, + { + "entropy": 5.7862955093383786, + "epoch": 9.136656639449935, + "grad_norm": 1.3828125, + "learning_rate": 5.9677569537308866e-05, + "loss": 4.9686, + "mean_token_accuracy": 0.22704976350069045, + "num_tokens": 19331176.0, + "step": 10635 + }, + { + "entropy": 5.7446370124816895, + "epoch": 9.14095401804899, + "grad_norm": 1.2890625, + "learning_rate": 5.958134290460888e-05, + "loss": 4.9083, + "mean_token_accuracy": 0.2379206582903862, + "num_tokens": 19340401.0, + "step": 10640 + }, + { + "entropy": 5.678402233123779, + "epoch": 9.145251396648044, + "grad_norm": 1.140625, + "learning_rate": 5.94855866601539e-05, + "loss": 4.8058, + "mean_token_accuracy": 0.24439001679420472, + "num_tokens": 19350700.0, + "step": 10645 + }, + { + "entropy": 5.744732236862182, + "epoch": 9.1495487752471, + "grad_norm": 1.3828125, + "learning_rate": 5.939030101303724e-05, + "loss": 4.8695, + "mean_token_accuracy": 0.2402612566947937, + "num_tokens": 19360040.0, + "step": 10650 + }, + { + "entropy": 5.7309928894042965, + "epoch": 9.153846153846153, + "grad_norm": 1.4140625, + "learning_rate": 5.929548617132472e-05, + "loss": 4.8179, + "mean_token_accuracy": 0.2454057216644287, + "num_tokens": 19368546.0, + "step": 10655 + }, + { + "entropy": 5.6870287418365475, + "epoch": 9.158143532445209, + "grad_norm": 1.4296875, + "learning_rate": 5.920114234205407e-05, + "loss": 4.7862, + "mean_token_accuracy": 0.24816205948591233, + "num_tokens": 19377137.0, + "step": 10660 + }, + { + "entropy": 5.759473419189453, + "epoch": 9.162440911044262, + "grad_norm": 1.3515625, + "learning_rate": 5.910726973123451e-05, + "loss": 4.9586, + "mean_token_accuracy": 0.2330634355545044, + "num_tokens": 19385781.0, + "step": 10665 + }, + { + "entropy": 5.72282657623291, + "epoch": 9.166738289643318, + "grad_norm": 1.3515625, + "learning_rate": 5.901386854384622e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24274778068065644, + "num_tokens": 19395186.0, + "step": 10670 + }, + { + "entropy": 5.77225079536438, + "epoch": 9.171035668242371, + "grad_norm": 1.3828125, + "learning_rate": 5.892093898384017e-05, + "loss": 4.8566, + "mean_token_accuracy": 0.24656753838062287, + "num_tokens": 19404140.0, + "step": 10675 + }, + { + "entropy": 5.730916357040405, + "epoch": 9.175333046841427, + "grad_norm": 1.34375, + "learning_rate": 5.8828481254137276e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24277020394802093, + "num_tokens": 19414481.0, + "step": 10680 + }, + { + "entropy": 5.60438551902771, + "epoch": 9.17963042544048, + "grad_norm": 1.5234375, + "learning_rate": 5.873649555662836e-05, + "loss": 4.7244, + "mean_token_accuracy": 0.24888451993465424, + "num_tokens": 19423259.0, + "step": 10685 + }, + { + "entropy": 5.724711990356445, + "epoch": 9.183927804039536, + "grad_norm": 1.3359375, + "learning_rate": 5.8644982092173335e-05, + "loss": 4.865, + "mean_token_accuracy": 0.24325377345085145, + "num_tokens": 19432011.0, + "step": 10690 + }, + { + "entropy": 5.696267986297608, + "epoch": 9.18822518263859, + "grad_norm": 1.328125, + "learning_rate": 5.85539410606011e-05, + "loss": 4.8452, + "mean_token_accuracy": 0.24142812043428422, + "num_tokens": 19441221.0, + "step": 10695 + }, + { + "entropy": 5.712868976593017, + "epoch": 9.192522561237645, + "grad_norm": 1.3984375, + "learning_rate": 5.8463372660708836e-05, + "loss": 4.8102, + "mean_token_accuracy": 0.2449094161391258, + "num_tokens": 19450014.0, + "step": 10700 + }, + { + "entropy": 5.724195671081543, + "epoch": 9.196819939836699, + "grad_norm": 1.3359375, + "learning_rate": 5.837327709026171e-05, + "loss": 4.9036, + "mean_token_accuracy": 0.2391239047050476, + "num_tokens": 19459480.0, + "step": 10705 + }, + { + "entropy": 5.737326002120971, + "epoch": 9.201117318435754, + "grad_norm": 1.265625, + "learning_rate": 5.8283654545992464e-05, + "loss": 4.9029, + "mean_token_accuracy": 0.23848976492881774, + "num_tokens": 19469111.0, + "step": 10710 + }, + { + "entropy": 5.751066207885742, + "epoch": 9.20541469703481, + "grad_norm": 1.40625, + "learning_rate": 5.819450522360096e-05, + "loss": 4.8419, + "mean_token_accuracy": 0.23905779421329498, + "num_tokens": 19477531.0, + "step": 10715 + }, + { + "entropy": 5.737590551376343, + "epoch": 9.209712075633863, + "grad_norm": 1.4140625, + "learning_rate": 5.810582931775362e-05, + "loss": 4.8554, + "mean_token_accuracy": 0.23738077729940416, + "num_tokens": 19486041.0, + "step": 10720 + }, + { + "entropy": 5.7077555656433105, + "epoch": 9.214009454232919, + "grad_norm": 1.3515625, + "learning_rate": 5.801762702208317e-05, + "loss": 4.8924, + "mean_token_accuracy": 0.24125652760267258, + "num_tokens": 19495514.0, + "step": 10725 + }, + { + "entropy": 5.6811192512512205, + "epoch": 9.218306832831972, + "grad_norm": 1.390625, + "learning_rate": 5.7929898529188215e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.2412465736269951, + "num_tokens": 19503879.0, + "step": 10730 + }, + { + "entropy": 5.684185552597046, + "epoch": 9.222604211431028, + "grad_norm": 1.1640625, + "learning_rate": 5.784264403063272e-05, + "loss": 4.7873, + "mean_token_accuracy": 0.24483999311923982, + "num_tokens": 19513922.0, + "step": 10735 + }, + { + "entropy": 5.6932319641113285, + "epoch": 9.226901590030081, + "grad_norm": 1.4765625, + "learning_rate": 5.775586371694561e-05, + "loss": 4.8255, + "mean_token_accuracy": 0.2445918560028076, + "num_tokens": 19522555.0, + "step": 10740 + }, + { + "entropy": 5.701971054077148, + "epoch": 9.231198968629137, + "grad_norm": 1.1953125, + "learning_rate": 5.7669557777620376e-05, + "loss": 4.8253, + "mean_token_accuracy": 0.2440289631485939, + "num_tokens": 19531245.0, + "step": 10745 + }, + { + "entropy": 5.6902079582214355, + "epoch": 9.23549634722819, + "grad_norm": 1.40625, + "learning_rate": 5.7583726401114756e-05, + "loss": 4.8014, + "mean_token_accuracy": 0.25117970257997513, + "num_tokens": 19540258.0, + "step": 10750 + }, + { + "entropy": 5.7464635372161865, + "epoch": 9.239793725827246, + "grad_norm": 1.390625, + "learning_rate": 5.749836977485013e-05, + "loss": 4.8656, + "mean_token_accuracy": 0.2349914312362671, + "num_tokens": 19550071.0, + "step": 10755 + }, + { + "entropy": 5.686515665054321, + "epoch": 9.2440911044263, + "grad_norm": 1.25, + "learning_rate": 5.741348808521128e-05, + "loss": 4.7854, + "mean_token_accuracy": 0.25020948648452757, + "num_tokens": 19558972.0, + "step": 10760 + }, + { + "entropy": 5.709124660491943, + "epoch": 9.248388483025355, + "grad_norm": 1.28125, + "learning_rate": 5.7329081517545846e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23870760351419448, + "num_tokens": 19568270.0, + "step": 10765 + }, + { + "entropy": 5.750066089630127, + "epoch": 9.252685861624409, + "grad_norm": 1.5703125, + "learning_rate": 5.724515025616409e-05, + "loss": 4.8639, + "mean_token_accuracy": 0.2456628665328026, + "num_tokens": 19576726.0, + "step": 10770 + }, + { + "entropy": 5.721097707748413, + "epoch": 9.256983240223464, + "grad_norm": 1.296875, + "learning_rate": 5.716169448433832e-05, + "loss": 4.8602, + "mean_token_accuracy": 0.23966725170612335, + "num_tokens": 19586706.0, + "step": 10775 + }, + { + "entropy": 5.713471555709839, + "epoch": 9.261280618822518, + "grad_norm": 1.3671875, + "learning_rate": 5.707871438430255e-05, + "loss": 4.8842, + "mean_token_accuracy": 0.23704735487699508, + "num_tokens": 19595370.0, + "step": 10780 + }, + { + "entropy": 5.720728015899658, + "epoch": 9.265577997421573, + "grad_norm": 1.4453125, + "learning_rate": 5.699621013725218e-05, + "loss": 4.9015, + "mean_token_accuracy": 0.24206158965826036, + "num_tokens": 19604134.0, + "step": 10785 + }, + { + "entropy": 5.6510015487670895, + "epoch": 9.269875376020627, + "grad_norm": 1.359375, + "learning_rate": 5.691418192334352e-05, + "loss": 4.8221, + "mean_token_accuracy": 0.25330779552459715, + "num_tokens": 19612716.0, + "step": 10790 + }, + { + "entropy": 5.697645568847657, + "epoch": 9.274172754619682, + "grad_norm": 1.296875, + "learning_rate": 5.683262992169341e-05, + "loss": 4.909, + "mean_token_accuracy": 0.2355555221438408, + "num_tokens": 19621850.0, + "step": 10795 + }, + { + "entropy": 5.688250255584717, + "epoch": 9.278470133218736, + "grad_norm": 1.296875, + "learning_rate": 5.675155431037876e-05, + "loss": 4.8704, + "mean_token_accuracy": 0.24086801260709761, + "num_tokens": 19630706.0, + "step": 10800 + }, + { + "entropy": 5.662147855758667, + "epoch": 9.282767511817791, + "grad_norm": 1.359375, + "learning_rate": 5.6670955266436365e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.2558609426021576, + "num_tokens": 19639364.0, + "step": 10805 + }, + { + "entropy": 5.741171836853027, + "epoch": 9.287064890416845, + "grad_norm": 1.328125, + "learning_rate": 5.659083296586229e-05, + "loss": 4.7906, + "mean_token_accuracy": 0.24558178037405015, + "num_tokens": 19647816.0, + "step": 10810 + }, + { + "entropy": 5.730060243606568, + "epoch": 9.2913622690159, + "grad_norm": 1.2109375, + "learning_rate": 5.6511187583611663e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.24423112869262695, + "num_tokens": 19657136.0, + "step": 10815 + }, + { + "entropy": 5.771777868270874, + "epoch": 9.295659647614954, + "grad_norm": 1.4609375, + "learning_rate": 5.643201929359809e-05, + "loss": 4.8806, + "mean_token_accuracy": 0.2378945991396904, + "num_tokens": 19665676.0, + "step": 10820 + }, + { + "entropy": 5.734367990493775, + "epoch": 9.29995702621401, + "grad_norm": 1.4765625, + "learning_rate": 5.635332826869353e-05, + "loss": 4.8337, + "mean_token_accuracy": 0.24641830772161483, + "num_tokens": 19674415.0, + "step": 10825 + }, + { + "entropy": 5.673384141921997, + "epoch": 9.304254404813063, + "grad_norm": 1.265625, + "learning_rate": 5.6275114680727716e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24797581434249877, + "num_tokens": 19684411.0, + "step": 10830 + }, + { + "entropy": 5.698321294784546, + "epoch": 9.308551783412119, + "grad_norm": 1.4453125, + "learning_rate": 5.619737870048783e-05, + "loss": 4.8224, + "mean_token_accuracy": 0.24377230405807496, + "num_tokens": 19693192.0, + "step": 10835 + }, + { + "entropy": 5.6213613986969, + "epoch": 9.312849162011172, + "grad_norm": 1.34375, + "learning_rate": 5.612012049771823e-05, + "loss": 4.7103, + "mean_token_accuracy": 0.25083507001399996, + "num_tokens": 19701710.0, + "step": 10840 + }, + { + "entropy": 5.7836895942687985, + "epoch": 9.317146540610228, + "grad_norm": 1.265625, + "learning_rate": 5.6043340241119924e-05, + "loss": 4.9229, + "mean_token_accuracy": 0.23689377903938294, + "num_tokens": 19710909.0, + "step": 10845 + }, + { + "entropy": 5.72804274559021, + "epoch": 9.321443919209282, + "grad_norm": 1.296875, + "learning_rate": 5.596703809835033e-05, + "loss": 4.874, + "mean_token_accuracy": 0.23930975049734116, + "num_tokens": 19720634.0, + "step": 10850 + }, + { + "entropy": 5.708077764511108, + "epoch": 9.325741297808337, + "grad_norm": 1.5390625, + "learning_rate": 5.589121423602277e-05, + "loss": 4.8003, + "mean_token_accuracy": 0.24899453520774842, + "num_tokens": 19729763.0, + "step": 10855 + }, + { + "entropy": 5.772850513458252, + "epoch": 9.33003867640739, + "grad_norm": 1.328125, + "learning_rate": 5.581586881970631e-05, + "loss": 4.9386, + "mean_token_accuracy": 0.23242200613021852, + "num_tokens": 19739065.0, + "step": 10860 + }, + { + "entropy": 5.6640668392181395, + "epoch": 9.334336055006446, + "grad_norm": 1.2734375, + "learning_rate": 5.574100201392522e-05, + "loss": 4.7625, + "mean_token_accuracy": 0.25813745260238646, + "num_tokens": 19748519.0, + "step": 10865 + }, + { + "entropy": 5.7350257396697994, + "epoch": 9.338633433605501, + "grad_norm": 1.3515625, + "learning_rate": 5.5666613982158665e-05, + "loss": 4.839, + "mean_token_accuracy": 0.2506720334291458, + "num_tokens": 19757573.0, + "step": 10870 + }, + { + "entropy": 5.762840938568115, + "epoch": 9.342930812204555, + "grad_norm": 1.34375, + "learning_rate": 5.559270488684036e-05, + "loss": 4.9695, + "mean_token_accuracy": 0.22792510986328124, + "num_tokens": 19767534.0, + "step": 10875 + }, + { + "entropy": 5.7635585308074955, + "epoch": 9.34722819080361, + "grad_norm": 1.2265625, + "learning_rate": 5.551927488935826e-05, + "loss": 4.915, + "mean_token_accuracy": 0.2328255593776703, + "num_tokens": 19776929.0, + "step": 10880 + }, + { + "entropy": 5.7432098388671875, + "epoch": 9.351525569402664, + "grad_norm": 1.3515625, + "learning_rate": 5.5446324150054086e-05, + "loss": 4.8966, + "mean_token_accuracy": 0.24054146707057952, + "num_tokens": 19785772.0, + "step": 10885 + }, + { + "entropy": 5.744037818908692, + "epoch": 9.35582294800172, + "grad_norm": 1.15625, + "learning_rate": 5.537385282822315e-05, + "loss": 4.8791, + "mean_token_accuracy": 0.2423680067062378, + "num_tokens": 19796073.0, + "step": 10890 + }, + { + "entropy": 5.719657611846924, + "epoch": 9.360120326600773, + "grad_norm": 1.5234375, + "learning_rate": 5.53018610821138e-05, + "loss": 4.8875, + "mean_token_accuracy": 0.24139334410429, + "num_tokens": 19804511.0, + "step": 10895 + }, + { + "entropy": 5.771108245849609, + "epoch": 9.364417705199829, + "grad_norm": 1.3671875, + "learning_rate": 5.523034906892728e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.24052533209323884, + "num_tokens": 19813348.0, + "step": 10900 + }, + { + "entropy": 5.759429550170898, + "epoch": 9.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 5.515931694481722e-05, + "loss": 4.9221, + "mean_token_accuracy": 0.23646650612354278, + "num_tokens": 19822390.0, + "step": 10905 + }, + { + "entropy": 5.789000034332275, + "epoch": 9.373012462397938, + "grad_norm": 1.34375, + "learning_rate": 5.508876486488936e-05, + "loss": 4.9348, + "mean_token_accuracy": 0.23186779618263245, + "num_tokens": 19832423.0, + "step": 10910 + }, + { + "entropy": 5.708720397949219, + "epoch": 9.377309840996991, + "grad_norm": 1.421875, + "learning_rate": 5.501869298320128e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.23571010082960128, + "num_tokens": 19841271.0, + "step": 10915 + }, + { + "entropy": 5.74044771194458, + "epoch": 9.381607219596047, + "grad_norm": 1.4296875, + "learning_rate": 5.4949101452761995e-05, + "loss": 4.8809, + "mean_token_accuracy": 0.24290914088487625, + "num_tokens": 19850648.0, + "step": 10920 + }, + { + "entropy": 5.731217288970948, + "epoch": 9.3859045981951, + "grad_norm": 1.2109375, + "learning_rate": 5.4879990425531534e-05, + "loss": 4.8185, + "mean_token_accuracy": 0.25113645792007444, + "num_tokens": 19860102.0, + "step": 10925 + }, + { + "entropy": 5.745176935195923, + "epoch": 9.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 5.4811360052420754e-05, + "loss": 4.9093, + "mean_token_accuracy": 0.23800594508647918, + "num_tokens": 19870008.0, + "step": 10930 + }, + { + "entropy": 5.709982967376709, + "epoch": 9.39449935539321, + "grad_norm": 1.15625, + "learning_rate": 5.4743210483290974e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24858268350362778, + "num_tokens": 19879452.0, + "step": 10935 + }, + { + "entropy": 5.79788875579834, + "epoch": 9.398796733992265, + "grad_norm": 1.25, + "learning_rate": 5.467554186695364e-05, + "loss": 4.9251, + "mean_token_accuracy": 0.23087782859802247, + "num_tokens": 19888956.0, + "step": 10940 + }, + { + "entropy": 5.713366889953614, + "epoch": 9.403094112591319, + "grad_norm": 1.2734375, + "learning_rate": 5.4608354351169944e-05, + "loss": 4.8697, + "mean_token_accuracy": 0.24130331128835678, + "num_tokens": 19897760.0, + "step": 10945 + }, + { + "entropy": 5.6680543422698975, + "epoch": 9.407391491190374, + "grad_norm": 1.3984375, + "learning_rate": 5.454164808265057e-05, + "loss": 4.8502, + "mean_token_accuracy": 0.23947279751300812, + "num_tokens": 19905692.0, + "step": 10950 + }, + { + "entropy": 5.671962881088257, + "epoch": 9.411688869789428, + "grad_norm": 1.359375, + "learning_rate": 5.447542320705532e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2486485093832016, + "num_tokens": 19914633.0, + "step": 10955 + }, + { + "entropy": 5.754352760314942, + "epoch": 9.415986248388483, + "grad_norm": 1.3984375, + "learning_rate": 5.440967986899289e-05, + "loss": 4.885, + "mean_token_accuracy": 0.2311162158846855, + "num_tokens": 19922749.0, + "step": 10960 + }, + { + "entropy": 5.722763872146606, + "epoch": 9.420283626987537, + "grad_norm": 1.34375, + "learning_rate": 5.434441821202042e-05, + "loss": 4.8282, + "mean_token_accuracy": 0.24647813886404038, + "num_tokens": 19931274.0, + "step": 10965 + }, + { + "entropy": 5.728282833099366, + "epoch": 9.424581005586592, + "grad_norm": 1.359375, + "learning_rate": 5.42796383786433e-05, + "loss": 4.8605, + "mean_token_accuracy": 0.2373078092932701, + "num_tokens": 19940052.0, + "step": 10970 + }, + { + "entropy": 5.72069993019104, + "epoch": 9.428878384185646, + "grad_norm": 1.234375, + "learning_rate": 5.4215340510314805e-05, + "loss": 4.8635, + "mean_token_accuracy": 0.24039194881916046, + "num_tokens": 19948890.0, + "step": 10975 + }, + { + "entropy": 5.700727844238282, + "epoch": 9.433175762784701, + "grad_norm": 1.234375, + "learning_rate": 5.41515247474358e-05, + "loss": 4.9025, + "mean_token_accuracy": 0.24478237628936766, + "num_tokens": 19958158.0, + "step": 10980 + }, + { + "entropy": 5.762474441528321, + "epoch": 9.437473141383755, + "grad_norm": 1.2578125, + "learning_rate": 5.4088191229354306e-05, + "loss": 4.9555, + "mean_token_accuracy": 0.2400050938129425, + "num_tokens": 19967432.0, + "step": 10985 + }, + { + "entropy": 5.700712060928344, + "epoch": 9.44177051998281, + "grad_norm": 1.296875, + "learning_rate": 5.402534009436552e-05, + "loss": 4.8405, + "mean_token_accuracy": 0.24093716442584992, + "num_tokens": 19977661.0, + "step": 10990 + }, + { + "entropy": 5.7578575134277346, + "epoch": 9.446067898581864, + "grad_norm": 1.359375, + "learning_rate": 5.396297147971116e-05, + "loss": 4.8967, + "mean_token_accuracy": 0.23771874606609344, + "num_tokens": 19986359.0, + "step": 10995 + }, + { + "entropy": 5.716905927658081, + "epoch": 9.45036527718092, + "grad_norm": 1.28125, + "learning_rate": 5.390108552157935e-05, + "loss": 4.8097, + "mean_token_accuracy": 0.24744485914707184, + "num_tokens": 19994618.0, + "step": 11000 + }, + { + "epoch": 9.45036527718092, + "eval_entropy": 5.561021716208072, + "eval_loss": 5.893560409545898, + "eval_mean_token_accuracy": 0.18303356171996743, + "eval_num_tokens": 19994618.0, + "eval_runtime": 2.0478, + "eval_samples_per_second": 1733.059, + "eval_steps_per_second": 216.816, + "step": 11000 + }, + { + "entropy": 5.751536750793457, + "epoch": 9.454662655779973, + "grad_norm": 1.3046875, + "learning_rate": 5.383968235510427e-05, + "loss": 4.9125, + "mean_token_accuracy": 0.24575117975473404, + "num_tokens": 20004050.0, + "step": 11005 + }, + { + "entropy": 5.719616365432739, + "epoch": 9.458960034379029, + "grad_norm": 1.2890625, + "learning_rate": 5.377876211436592e-05, + "loss": 4.8358, + "mean_token_accuracy": 0.24225348532199859, + "num_tokens": 20013480.0, + "step": 11010 + }, + { + "entropy": 5.794860315322876, + "epoch": 9.463257412978084, + "grad_norm": 1.4453125, + "learning_rate": 5.371832493238973e-05, + "loss": 4.9287, + "mean_token_accuracy": 0.2346111848950386, + "num_tokens": 20022133.0, + "step": 11015 + }, + { + "entropy": 5.674678897857666, + "epoch": 9.467554791577138, + "grad_norm": 1.375, + "learning_rate": 5.365837094114639e-05, + "loss": 4.808, + "mean_token_accuracy": 0.25014188438653945, + "num_tokens": 20031462.0, + "step": 11020 + }, + { + "entropy": 5.768085956573486, + "epoch": 9.471852170176193, + "grad_norm": 1.390625, + "learning_rate": 5.3598900271551396e-05, + "loss": 4.9489, + "mean_token_accuracy": 0.2319101795554161, + "num_tokens": 20042055.0, + "step": 11025 + }, + { + "entropy": 5.718179845809937, + "epoch": 9.476149548775247, + "grad_norm": 1.15625, + "learning_rate": 5.353991305346499e-05, + "loss": 4.8555, + "mean_token_accuracy": 0.2395426645874977, + "num_tokens": 20051379.0, + "step": 11030 + }, + { + "entropy": 5.6791009426116945, + "epoch": 9.480446927374302, + "grad_norm": 1.3359375, + "learning_rate": 5.348140941569165e-05, + "loss": 4.7847, + "mean_token_accuracy": 0.2500495076179504, + "num_tokens": 20060289.0, + "step": 11035 + }, + { + "entropy": 5.699596500396728, + "epoch": 9.484744305973356, + "grad_norm": 1.3203125, + "learning_rate": 5.342338948597989e-05, + "loss": 4.8269, + "mean_token_accuracy": 0.24260480403900148, + "num_tokens": 20070133.0, + "step": 11040 + }, + { + "entropy": 5.75848708152771, + "epoch": 9.489041684572411, + "grad_norm": 1.375, + "learning_rate": 5.336585339102209e-05, + "loss": 4.8636, + "mean_token_accuracy": 0.24093058556318284, + "num_tokens": 20078384.0, + "step": 11045 + }, + { + "entropy": 5.649259424209594, + "epoch": 9.493339063171465, + "grad_norm": 1.34375, + "learning_rate": 5.33088012564541e-05, + "loss": 4.7802, + "mean_token_accuracy": 0.2498975083231926, + "num_tokens": 20087116.0, + "step": 11050 + }, + { + "entropy": 5.608646535873413, + "epoch": 9.49763644177052, + "grad_norm": 1.34375, + "learning_rate": 5.3252233206854955e-05, + "loss": 4.7779, + "mean_token_accuracy": 0.24721285551786423, + "num_tokens": 20096918.0, + "step": 11055 + }, + { + "entropy": 5.720380878448486, + "epoch": 9.501933820369574, + "grad_norm": 1.3203125, + "learning_rate": 5.3196149365746656e-05, + "loss": 4.9427, + "mean_token_accuracy": 0.23233859241008759, + "num_tokens": 20107602.0, + "step": 11060 + }, + { + "entropy": 5.647018575668335, + "epoch": 9.50623119896863, + "grad_norm": 1.171875, + "learning_rate": 5.31405498555939e-05, + "loss": 4.8205, + "mean_token_accuracy": 0.24482105374336244, + "num_tokens": 20117732.0, + "step": 11065 + }, + { + "entropy": 5.787069416046142, + "epoch": 9.510528577567683, + "grad_norm": 1.21875, + "learning_rate": 5.308543479780384e-05, + "loss": 4.9499, + "mean_token_accuracy": 0.22889099568128585, + "num_tokens": 20127765.0, + "step": 11070 + }, + { + "entropy": 5.748648309707642, + "epoch": 9.514825956166739, + "grad_norm": 1.375, + "learning_rate": 5.303080431272567e-05, + "loss": 4.9253, + "mean_token_accuracy": 0.23980981707572938, + "num_tokens": 20137135.0, + "step": 11075 + }, + { + "entropy": 5.704532814025879, + "epoch": 9.519123334765792, + "grad_norm": 1.3984375, + "learning_rate": 5.297665851965055e-05, + "loss": 4.8654, + "mean_token_accuracy": 0.24282841831445695, + "num_tokens": 20146156.0, + "step": 11080 + }, + { + "entropy": 5.735879802703858, + "epoch": 9.523420713364848, + "grad_norm": 1.4921875, + "learning_rate": 5.292299753681129e-05, + "loss": 4.8687, + "mean_token_accuracy": 0.2410810708999634, + "num_tokens": 20154433.0, + "step": 11085 + }, + { + "entropy": 5.735851383209228, + "epoch": 9.527718091963902, + "grad_norm": 1.28125, + "learning_rate": 5.286982148138196e-05, + "loss": 4.852, + "mean_token_accuracy": 0.24170392155647277, + "num_tokens": 20164209.0, + "step": 11090 + }, + { + "entropy": 5.724815750122071, + "epoch": 9.532015470562957, + "grad_norm": 1.3515625, + "learning_rate": 5.281713046947787e-05, + "loss": 4.8645, + "mean_token_accuracy": 0.2355036363005638, + "num_tokens": 20173116.0, + "step": 11095 + }, + { + "entropy": 5.773639297485351, + "epoch": 9.53631284916201, + "grad_norm": 1.40625, + "learning_rate": 5.2764924616155116e-05, + "loss": 4.9453, + "mean_token_accuracy": 0.23105342984199523, + "num_tokens": 20182933.0, + "step": 11100 + }, + { + "entropy": 5.726321268081665, + "epoch": 9.540610227761066, + "grad_norm": 1.5078125, + "learning_rate": 5.271320403541038e-05, + "loss": 4.8288, + "mean_token_accuracy": 0.24428213983774186, + "num_tokens": 20191899.0, + "step": 11105 + }, + { + "entropy": 5.751812839508057, + "epoch": 9.54490760636012, + "grad_norm": 1.3671875, + "learning_rate": 5.266196884018081e-05, + "loss": 4.8788, + "mean_token_accuracy": 0.24230959862470627, + "num_tokens": 20201108.0, + "step": 11110 + }, + { + "entropy": 5.69306116104126, + "epoch": 9.549204984959175, + "grad_norm": 1.3671875, + "learning_rate": 5.2611219142343494e-05, + "loss": 4.854, + "mean_token_accuracy": 0.24209704995155334, + "num_tokens": 20209137.0, + "step": 11115 + }, + { + "entropy": 5.660806035995483, + "epoch": 9.553502363558229, + "grad_norm": 1.25, + "learning_rate": 5.2560955052715574e-05, + "loss": 4.7671, + "mean_token_accuracy": 0.24614596515893936, + "num_tokens": 20217879.0, + "step": 11120 + }, + { + "entropy": 5.724523305892944, + "epoch": 9.557799742157284, + "grad_norm": 1.3515625, + "learning_rate": 5.2511176681053704e-05, + "loss": 4.8475, + "mean_token_accuracy": 0.24516242742538452, + "num_tokens": 20226783.0, + "step": 11125 + }, + { + "entropy": 5.725910329818726, + "epoch": 9.562097120756338, + "grad_norm": 1.375, + "learning_rate": 5.246188413605393e-05, + "loss": 4.8643, + "mean_token_accuracy": 0.24164182394742967, + "num_tokens": 20235008.0, + "step": 11130 + }, + { + "entropy": 5.716705322265625, + "epoch": 9.566394499355393, + "grad_norm": 1.359375, + "learning_rate": 5.241307752535149e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.25252772122621536, + "num_tokens": 20243157.0, + "step": 11135 + }, + { + "entropy": 5.709731864929199, + "epoch": 9.570691877954447, + "grad_norm": 1.2890625, + "learning_rate": 5.236475695552052e-05, + "loss": 4.8463, + "mean_token_accuracy": 0.24593894481658934, + "num_tokens": 20251548.0, + "step": 11140 + }, + { + "entropy": 5.611426973342896, + "epoch": 9.574989256553502, + "grad_norm": 1.4375, + "learning_rate": 5.2316922532073796e-05, + "loss": 4.7391, + "mean_token_accuracy": 0.25582781732082366, + "num_tokens": 20260954.0, + "step": 11145 + }, + { + "entropy": 5.783295440673828, + "epoch": 9.579286635152556, + "grad_norm": 1.3359375, + "learning_rate": 5.226957435946265e-05, + "loss": 4.9657, + "mean_token_accuracy": 0.2272557646036148, + "num_tokens": 20269976.0, + "step": 11150 + }, + { + "entropy": 5.731646537780762, + "epoch": 9.583584013751612, + "grad_norm": 1.3203125, + "learning_rate": 5.2222712541076464e-05, + "loss": 4.9138, + "mean_token_accuracy": 0.2371578335762024, + "num_tokens": 20279824.0, + "step": 11155 + }, + { + "entropy": 5.7411322593688965, + "epoch": 9.587881392350667, + "grad_norm": 1.34375, + "learning_rate": 5.217633717924282e-05, + "loss": 4.8572, + "mean_token_accuracy": 0.2577525168657303, + "num_tokens": 20289284.0, + "step": 11160 + }, + { + "entropy": 5.7514575004577635, + "epoch": 9.59217877094972, + "grad_norm": 1.1796875, + "learning_rate": 5.213044837522689e-05, + "loss": 4.8106, + "mean_token_accuracy": 0.24952750355005265, + "num_tokens": 20297905.0, + "step": 11165 + }, + { + "entropy": 5.672228050231934, + "epoch": 9.596476149548776, + "grad_norm": 1.3828125, + "learning_rate": 5.208504622923154e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24929569363594056, + "num_tokens": 20307219.0, + "step": 11170 + }, + { + "entropy": 5.722142553329467, + "epoch": 9.60077352814783, + "grad_norm": 1.3984375, + "learning_rate": 5.204013084039687e-05, + "loss": 4.8724, + "mean_token_accuracy": 0.2437526673078537, + "num_tokens": 20316369.0, + "step": 11175 + }, + { + "entropy": 5.6969505786895756, + "epoch": 9.605070906746885, + "grad_norm": 1.4375, + "learning_rate": 5.199570230680017e-05, + "loss": 4.8473, + "mean_token_accuracy": 0.24211715310811996, + "num_tokens": 20325764.0, + "step": 11180 + }, + { + "entropy": 5.803487777709961, + "epoch": 9.609368285345939, + "grad_norm": 1.328125, + "learning_rate": 5.19517607254556e-05, + "loss": 4.9431, + "mean_token_accuracy": 0.23417452871799468, + "num_tokens": 20334671.0, + "step": 11185 + }, + { + "entropy": 5.7173380851745605, + "epoch": 9.613665663944994, + "grad_norm": 1.34375, + "learning_rate": 5.190830619231397e-05, + "loss": 4.8684, + "mean_token_accuracy": 0.24233201891183853, + "num_tokens": 20343585.0, + "step": 11190 + }, + { + "entropy": 5.701148939132691, + "epoch": 9.617963042544048, + "grad_norm": 1.328125, + "learning_rate": 5.186533880226263e-05, + "loss": 4.8113, + "mean_token_accuracy": 0.2474406123161316, + "num_tokens": 20352569.0, + "step": 11195 + }, + { + "entropy": 5.730457019805908, + "epoch": 9.622260421143103, + "grad_norm": 1.4453125, + "learning_rate": 5.1822858649125197e-05, + "loss": 4.8833, + "mean_token_accuracy": 0.23313068896532058, + "num_tokens": 20361479.0, + "step": 11200 + }, + { + "entropy": 5.774404764175415, + "epoch": 9.626557799742157, + "grad_norm": 1.453125, + "learning_rate": 5.178086582566134e-05, + "loss": 4.9157, + "mean_token_accuracy": 0.2357160970568657, + "num_tokens": 20370286.0, + "step": 11205 + }, + { + "entropy": 5.705867576599121, + "epoch": 9.630855178341212, + "grad_norm": 1.3125, + "learning_rate": 5.1739360423566596e-05, + "loss": 4.8895, + "mean_token_accuracy": 0.23882053792476654, + "num_tokens": 20379253.0, + "step": 11210 + }, + { + "entropy": 5.724793434143066, + "epoch": 9.635152556940266, + "grad_norm": 1.390625, + "learning_rate": 5.16983425334722e-05, + "loss": 4.8406, + "mean_token_accuracy": 0.24639717787504195, + "num_tokens": 20387796.0, + "step": 11215 + }, + { + "entropy": 5.711037969589233, + "epoch": 9.639449935539322, + "grad_norm": 1.3515625, + "learning_rate": 5.1657812244944796e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.24511823803186417, + "num_tokens": 20396209.0, + "step": 11220 + }, + { + "entropy": 5.801721382141113, + "epoch": 9.643747314138375, + "grad_norm": 1.40625, + "learning_rate": 5.1617769646486344e-05, + "loss": 4.9309, + "mean_token_accuracy": 0.24493779987096786, + "num_tokens": 20405102.0, + "step": 11225 + }, + { + "entropy": 5.7793690204620365, + "epoch": 9.64804469273743, + "grad_norm": 1.234375, + "learning_rate": 5.157821482553389e-05, + "loss": 4.984, + "mean_token_accuracy": 0.22937669306993486, + "num_tokens": 20415126.0, + "step": 11230 + }, + { + "entropy": 5.72899432182312, + "epoch": 9.652342071336484, + "grad_norm": 1.375, + "learning_rate": 5.153914786845932e-05, + "loss": 4.9059, + "mean_token_accuracy": 0.235084168612957, + "num_tokens": 20424166.0, + "step": 11235 + }, + { + "entropy": 5.665798377990723, + "epoch": 9.65663944993554, + "grad_norm": 1.53125, + "learning_rate": 5.1500568860569285e-05, + "loss": 4.7348, + "mean_token_accuracy": 0.26206835061311723, + "num_tokens": 20431984.0, + "step": 11240 + }, + { + "entropy": 5.659931087493897, + "epoch": 9.660936828534593, + "grad_norm": 1.4296875, + "learning_rate": 5.1462477886104904e-05, + "loss": 4.7933, + "mean_token_accuracy": 0.24927198141813278, + "num_tokens": 20440923.0, + "step": 11245 + }, + { + "entropy": 5.728438901901245, + "epoch": 9.665234207133649, + "grad_norm": 1.4453125, + "learning_rate": 5.1424875028241625e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.2419541597366333, + "num_tokens": 20449525.0, + "step": 11250 + }, + { + "entropy": 5.731784915924072, + "epoch": 9.669531585732702, + "grad_norm": 1.203125, + "learning_rate": 5.138776036908911e-05, + "loss": 4.883, + "mean_token_accuracy": 0.24157910495996476, + "num_tokens": 20459193.0, + "step": 11255 + }, + { + "entropy": 5.709342765808105, + "epoch": 9.673828964331758, + "grad_norm": 1.5234375, + "learning_rate": 5.135113398969091e-05, + "loss": 4.8233, + "mean_token_accuracy": 0.2402026414871216, + "num_tokens": 20467564.0, + "step": 11260 + }, + { + "entropy": 5.78696117401123, + "epoch": 9.678126342930812, + "grad_norm": 1.328125, + "learning_rate": 5.131499597002437e-05, + "loss": 4.9665, + "mean_token_accuracy": 0.234141606092453, + "num_tokens": 20476573.0, + "step": 11265 + }, + { + "entropy": 5.719672203063965, + "epoch": 9.682423721529867, + "grad_norm": 1.3515625, + "learning_rate": 5.12793463890005e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.23852619677782058, + "num_tokens": 20486788.0, + "step": 11270 + }, + { + "entropy": 5.757355690002441, + "epoch": 9.68672110012892, + "grad_norm": 1.21875, + "learning_rate": 5.124418532446376e-05, + "loss": 4.9113, + "mean_token_accuracy": 0.23218149691820145, + "num_tokens": 20495982.0, + "step": 11275 + }, + { + "entropy": 5.786857461929321, + "epoch": 9.691018478727976, + "grad_norm": 1.2890625, + "learning_rate": 5.120951285319187e-05, + "loss": 4.9401, + "mean_token_accuracy": 0.23337600380182266, + "num_tokens": 20504678.0, + "step": 11280 + }, + { + "entropy": 5.71163010597229, + "epoch": 9.69531585732703, + "grad_norm": 1.4140625, + "learning_rate": 5.1175329050895584e-05, + "loss": 4.7812, + "mean_token_accuracy": 0.24595889896154405, + "num_tokens": 20513362.0, + "step": 11285 + }, + { + "entropy": 5.695388889312744, + "epoch": 9.699613235926085, + "grad_norm": 1.3046875, + "learning_rate": 5.114163399221871e-05, + "loss": 4.9018, + "mean_token_accuracy": 0.24140434116125106, + "num_tokens": 20522280.0, + "step": 11290 + }, + { + "entropy": 5.683009386062622, + "epoch": 9.703910614525139, + "grad_norm": 1.46875, + "learning_rate": 5.110842775073778e-05, + "loss": 4.8258, + "mean_token_accuracy": 0.24388017654418945, + "num_tokens": 20531175.0, + "step": 11295 + }, + { + "entropy": 5.700381183624268, + "epoch": 9.708207993124194, + "grad_norm": 1.2734375, + "learning_rate": 5.107571039896196e-05, + "loss": 4.8818, + "mean_token_accuracy": 0.24136573374271392, + "num_tokens": 20540592.0, + "step": 11300 + }, + { + "entropy": 5.795329952239991, + "epoch": 9.71250537172325, + "grad_norm": 1.46875, + "learning_rate": 5.1043482008332864e-05, + "loss": 4.9774, + "mean_token_accuracy": 0.22769286781549453, + "num_tokens": 20549963.0, + "step": 11305 + }, + { + "entropy": 5.708670043945313, + "epoch": 9.716802750322303, + "grad_norm": 1.2421875, + "learning_rate": 5.1011742649224394e-05, + "loss": 4.8863, + "mean_token_accuracy": 0.24391805678606032, + "num_tokens": 20558928.0, + "step": 11310 + }, + { + "entropy": 5.684968519210815, + "epoch": 9.721100128921359, + "grad_norm": 1.5, + "learning_rate": 5.098049239094267e-05, + "loss": 4.7638, + "mean_token_accuracy": 0.25189766734838487, + "num_tokens": 20566483.0, + "step": 11315 + }, + { + "entropy": 5.751645565032959, + "epoch": 9.725397507520412, + "grad_norm": 1.390625, + "learning_rate": 5.094973130172573e-05, + "loss": 4.8502, + "mean_token_accuracy": 0.24031373858451843, + "num_tokens": 20575349.0, + "step": 11320 + }, + { + "entropy": 5.764202070236206, + "epoch": 9.729694886119468, + "grad_norm": 1.375, + "learning_rate": 5.09194594487435e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23896111100912093, + "num_tokens": 20584235.0, + "step": 11325 + }, + { + "entropy": 5.65966477394104, + "epoch": 9.733992264718522, + "grad_norm": 1.40625, + "learning_rate": 5.088967689809763e-05, + "loss": 4.7997, + "mean_token_accuracy": 0.2483944997191429, + "num_tokens": 20593705.0, + "step": 11330 + }, + { + "entropy": 5.726091384887695, + "epoch": 9.738289643317577, + "grad_norm": 1.140625, + "learning_rate": 5.086038371482128e-05, + "loss": 4.9113, + "mean_token_accuracy": 0.24341873675584794, + "num_tokens": 20603886.0, + "step": 11335 + }, + { + "entropy": 5.5950987339019775, + "epoch": 9.74258702191663, + "grad_norm": 1.3046875, + "learning_rate": 5.0831579962879074e-05, + "loss": 4.7436, + "mean_token_accuracy": 0.26151440143585203, + "num_tokens": 20613181.0, + "step": 11340 + }, + { + "entropy": 5.748124647140503, + "epoch": 9.746884400515686, + "grad_norm": 1.34375, + "learning_rate": 5.080326570516686e-05, + "loss": 4.8578, + "mean_token_accuracy": 0.24287873059511184, + "num_tokens": 20620938.0, + "step": 11345 + }, + { + "entropy": 5.775603008270264, + "epoch": 9.75118177911474, + "grad_norm": 1.2734375, + "learning_rate": 5.077544100351172e-05, + "loss": 4.955, + "mean_token_accuracy": 0.23114031553268433, + "num_tokens": 20630992.0, + "step": 11350 + }, + { + "entropy": 5.784262037277221, + "epoch": 9.755479157713795, + "grad_norm": 1.40625, + "learning_rate": 5.0748105918671616e-05, + "loss": 4.9767, + "mean_token_accuracy": 0.23523692786693573, + "num_tokens": 20640543.0, + "step": 11355 + }, + { + "entropy": 5.749115753173828, + "epoch": 9.759776536312849, + "grad_norm": 1.2890625, + "learning_rate": 5.072126051033551e-05, + "loss": 4.88, + "mean_token_accuracy": 0.23079000860452653, + "num_tokens": 20649814.0, + "step": 11360 + }, + { + "entropy": 5.744604825973511, + "epoch": 9.764073914911904, + "grad_norm": 1.3046875, + "learning_rate": 5.069490483712298e-05, + "loss": 4.8877, + "mean_token_accuracy": 0.24896368533372878, + "num_tokens": 20658215.0, + "step": 11365 + }, + { + "entropy": 5.736106920242309, + "epoch": 9.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 5.066903895658433e-05, + "loss": 4.8536, + "mean_token_accuracy": 0.24528583735227585, + "num_tokens": 20667412.0, + "step": 11370 + }, + { + "entropy": 5.701273393630982, + "epoch": 9.772668672110013, + "grad_norm": 1.40625, + "learning_rate": 5.064366292520028e-05, + "loss": 4.8855, + "mean_token_accuracy": 0.24092838913202286, + "num_tokens": 20676366.0, + "step": 11375 + }, + { + "entropy": 5.788467454910278, + "epoch": 9.776966050709067, + "grad_norm": 1.1953125, + "learning_rate": 5.061877679838192e-05, + "loss": 4.9789, + "mean_token_accuracy": 0.22519542872905732, + "num_tokens": 20686872.0, + "step": 11380 + }, + { + "entropy": 5.737813997268677, + "epoch": 9.781263429308122, + "grad_norm": 1.3984375, + "learning_rate": 5.059438063047066e-05, + "loss": 4.8193, + "mean_token_accuracy": 0.24957498162984848, + "num_tokens": 20695162.0, + "step": 11385 + }, + { + "entropy": 5.724996185302734, + "epoch": 9.785560807907176, + "grad_norm": 1.2890625, + "learning_rate": 5.057047447473796e-05, + "loss": 4.8617, + "mean_token_accuracy": 0.2426105782389641, + "num_tokens": 20703897.0, + "step": 11390 + }, + { + "entropy": 5.687663936614991, + "epoch": 9.789858186506232, + "grad_norm": 1.25, + "learning_rate": 5.054705838338529e-05, + "loss": 4.8257, + "mean_token_accuracy": 0.2476524829864502, + "num_tokens": 20712115.0, + "step": 11395 + }, + { + "entropy": 5.6803947448730465, + "epoch": 9.794155565105285, + "grad_norm": 1.28125, + "learning_rate": 5.052413240754404e-05, + "loss": 4.7912, + "mean_token_accuracy": 0.24645674079656602, + "num_tokens": 20721073.0, + "step": 11400 + }, + { + "entropy": 5.723237371444702, + "epoch": 9.79845294370434, + "grad_norm": 1.1796875, + "learning_rate": 5.0501696597275376e-05, + "loss": 4.8563, + "mean_token_accuracy": 0.24140281826257706, + "num_tokens": 20731370.0, + "step": 11405 + }, + { + "entropy": 5.745257997512818, + "epoch": 9.802750322303394, + "grad_norm": 1.3671875, + "learning_rate": 5.047975100157018e-05, + "loss": 4.9027, + "mean_token_accuracy": 0.2401305392384529, + "num_tokens": 20740744.0, + "step": 11410 + }, + { + "entropy": 5.727187061309815, + "epoch": 9.80704770090245, + "grad_norm": 1.2734375, + "learning_rate": 5.045829566834879e-05, + "loss": 4.8634, + "mean_token_accuracy": 0.2440107509493828, + "num_tokens": 20749838.0, + "step": 11415 + }, + { + "entropy": 5.711826944351197, + "epoch": 9.811345079501503, + "grad_norm": 1.21875, + "learning_rate": 5.043733064446113e-05, + "loss": 4.8006, + "mean_token_accuracy": 0.24765003770589827, + "num_tokens": 20759689.0, + "step": 11420 + }, + { + "entropy": 5.709393310546875, + "epoch": 9.815642458100559, + "grad_norm": 1.421875, + "learning_rate": 5.041685597568641e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24392541050910949, + "num_tokens": 20769234.0, + "step": 11425 + }, + { + "entropy": 5.69757490158081, + "epoch": 9.819939836699612, + "grad_norm": 1.3203125, + "learning_rate": 5.039687170673315e-05, + "loss": 4.9075, + "mean_token_accuracy": 0.2447763815522194, + "num_tokens": 20778794.0, + "step": 11430 + }, + { + "entropy": 5.717040491104126, + "epoch": 9.824237215298668, + "grad_norm": 1.2734375, + "learning_rate": 5.037737788123895e-05, + "loss": 4.8499, + "mean_token_accuracy": 0.24264205247163773, + "num_tokens": 20788327.0, + "step": 11435 + }, + { + "entropy": 5.753022718429565, + "epoch": 9.828534593897722, + "grad_norm": 1.265625, + "learning_rate": 5.03583745417706e-05, + "loss": 4.9045, + "mean_token_accuracy": 0.23663776665925979, + "num_tokens": 20797161.0, + "step": 11440 + }, + { + "entropy": 5.795938730239868, + "epoch": 9.832831972496777, + "grad_norm": 1.2734375, + "learning_rate": 5.033986172982375e-05, + "loss": 4.9604, + "mean_token_accuracy": 0.236555577814579, + "num_tokens": 20806264.0, + "step": 11445 + }, + { + "entropy": 5.737242841720581, + "epoch": 9.837129351095832, + "grad_norm": 1.3203125, + "learning_rate": 5.0321839485823014e-05, + "loss": 4.906, + "mean_token_accuracy": 0.22974789142608643, + "num_tokens": 20815569.0, + "step": 11450 + }, + { + "entropy": 5.778546380996704, + "epoch": 9.841426729694886, + "grad_norm": 1.375, + "learning_rate": 5.030430784912177e-05, + "loss": 4.9837, + "mean_token_accuracy": 0.23175105601549148, + "num_tokens": 20825234.0, + "step": 11455 + }, + { + "entropy": 5.661735200881958, + "epoch": 9.845724108293942, + "grad_norm": 1.375, + "learning_rate": 5.0287266858002054e-05, + "loss": 4.8381, + "mean_token_accuracy": 0.2472504422068596, + "num_tokens": 20834601.0, + "step": 11460 + }, + { + "entropy": 5.75831446647644, + "epoch": 9.850021486892995, + "grad_norm": 1.1640625, + "learning_rate": 5.027071654967465e-05, + "loss": 4.8487, + "mean_token_accuracy": 0.24770977795124055, + "num_tokens": 20843686.0, + "step": 11465 + }, + { + "entropy": 5.7528746128082275, + "epoch": 9.85431886549205, + "grad_norm": 1.3203125, + "learning_rate": 5.025465696027875e-05, + "loss": 4.8806, + "mean_token_accuracy": 0.2449487879872322, + "num_tokens": 20852009.0, + "step": 11470 + }, + { + "entropy": 5.733751058578491, + "epoch": 9.858616244091104, + "grad_norm": 1.375, + "learning_rate": 5.023908812488211e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24153771251440048, + "num_tokens": 20861241.0, + "step": 11475 + }, + { + "entropy": 5.742742109298706, + "epoch": 9.86291362269016, + "grad_norm": 1.2109375, + "learning_rate": 5.022401007748087e-05, + "loss": 4.8754, + "mean_token_accuracy": 0.23860252499580384, + "num_tokens": 20869774.0, + "step": 11480 + }, + { + "entropy": 5.717617797851562, + "epoch": 9.867211001289213, + "grad_norm": 1.3984375, + "learning_rate": 5.0209422850999414e-05, + "loss": 4.9157, + "mean_token_accuracy": 0.23705103248357773, + "num_tokens": 20878844.0, + "step": 11485 + }, + { + "entropy": 5.723273706436157, + "epoch": 9.871508379888269, + "grad_norm": 1.296875, + "learning_rate": 5.019532647729046e-05, + "loss": 4.8968, + "mean_token_accuracy": 0.23562048077583314, + "num_tokens": 20888054.0, + "step": 11490 + }, + { + "entropy": 5.744698572158813, + "epoch": 9.875805758487322, + "grad_norm": 1.1640625, + "learning_rate": 5.0181720987134815e-05, + "loss": 4.8726, + "mean_token_accuracy": 0.24331187903881074, + "num_tokens": 20897752.0, + "step": 11495 + }, + { + "entropy": 5.623719358444214, + "epoch": 9.880103137086378, + "grad_norm": 1.453125, + "learning_rate": 5.016860641024143e-05, + "loss": 4.7521, + "mean_token_accuracy": 0.25455262660980227, + "num_tokens": 20906186.0, + "step": 11500 + }, + { + "epoch": 9.880103137086378, + "eval_entropy": 5.549299109089482, + "eval_loss": 5.895005702972412, + "eval_mean_token_accuracy": 0.18285801942955265, + "eval_num_tokens": 20906186.0, + "eval_runtime": 2.0641, + "eval_samples_per_second": 1719.433, + "eval_steps_per_second": 215.111, + "step": 11500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4703050292981760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-11500/training_args.bin b/checkpoint-11500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-11500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-11630/added_tokens.json b/checkpoint-11630/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-11630/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-11630/config.json b/checkpoint-11630/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-11630/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-11630/generation_config.json b/checkpoint-11630/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-11630/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-11630/model.safetensors b/checkpoint-11630/model.safetensors new file mode 100644 index 0000000..fce24fe --- /dev/null +++ b/checkpoint-11630/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a9086b2f4517640b69b280b2f0ce541d9543bef2e33aa2ee6a01ae05f06319a +size 78179408 diff --git a/checkpoint-11630/rng_state.pth b/checkpoint-11630/rng_state.pth new file mode 100644 index 0000000..3439220 --- /dev/null +++ b/checkpoint-11630/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:807f45588ec412257d63aab42cc1c2684cfd93d63c1a3b4612a169b217f168e0 +size 14645 diff --git a/checkpoint-11630/special_tokens_map.json b/checkpoint-11630/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-11630/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-11630/spiece.model b/checkpoint-11630/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-11630/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-11630/tokenizer_config.json b/checkpoint-11630/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-11630/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-11630/trainer_state.json b/checkpoint-11630/trainer_state.json new file mode 100644 index 0000000..6515cde --- /dev/null +++ b/checkpoint-11630/trainer_state.json @@ -0,0 +1,23547 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.991834980661796, + "eval_steps": 500, + "global_step": 11630, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + }, + { + "entropy": 5.66387529373169, + "epoch": 7.306832831972497, + "grad_norm": 1.203125, + "learning_rate": 0.00013938223617599124, + "loss": 4.9421, + "mean_token_accuracy": 0.23342001885175706, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.74355845451355, + "epoch": 7.311130210571552, + "grad_norm": 1.4375, + "learning_rate": 0.00013911708523901514, + "loss": 4.9755, + "mean_token_accuracy": 0.23636211156845094, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.763104438781738, + "epoch": 7.315427589170606, + "grad_norm": 1.2734375, + "learning_rate": 0.00013885223101601303, + "loss": 4.8955, + "mean_token_accuracy": 0.23637697100639343, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.71501669883728, + "epoch": 7.319724967769661, + "grad_norm": 1.265625, + "learning_rate": 0.00013858767408532051, + "loss": 4.8816, + "mean_token_accuracy": 0.24099365025758743, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.723988056182861, + "epoch": 7.324022346368715, + "grad_norm": 1.375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8774, + "mean_token_accuracy": 0.23590993583202363, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.737170457839966, + "epoch": 7.32831972496777, + "grad_norm": 1.46875, + "learning_rate": 0.00013805945441096057, + "loss": 4.9277, + "mean_token_accuracy": 0.23668332844972612, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.7540687084197994, + "epoch": 7.332617103566824, + "grad_norm": 1.375, + "learning_rate": 0.00013779579282071364, + "loss": 4.9306, + "mean_token_accuracy": 0.2349459186196327, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.676801681518555, + "epoch": 7.336914482165879, + "grad_norm": 1.28125, + "learning_rate": 0.00013753243082961512, + "loss": 4.8768, + "mean_token_accuracy": 0.24011008739471434, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.68070273399353, + "epoch": 7.3412118607649335, + "grad_norm": 1.328125, + "learning_rate": 0.00013726936901274246, + "loss": 4.8393, + "mean_token_accuracy": 0.24872156083583832, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.800928020477295, + "epoch": 7.345509239363988, + "grad_norm": 1.21875, + "learning_rate": 0.0001370066079445174, + "loss": 4.9704, + "mean_token_accuracy": 0.23076788932085038, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.79030556678772, + "epoch": 7.349806617963043, + "grad_norm": 1.2421875, + "learning_rate": 0.00013674414819870502, + "loss": 5.0745, + "mean_token_accuracy": 0.22369800060987471, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.730133438110352, + "epoch": 7.354103996562097, + "grad_norm": 1.3984375, + "learning_rate": 0.00013648199034841264, + "loss": 4.92, + "mean_token_accuracy": 0.2387056604027748, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.69276180267334, + "epoch": 7.358401375161152, + "grad_norm": 1.34375, + "learning_rate": 0.0001362201349660882, + "loss": 4.8912, + "mean_token_accuracy": 0.24466140568256378, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.666532707214356, + "epoch": 7.362698753760206, + "grad_norm": 1.3203125, + "learning_rate": 0.0001359585826235192, + "loss": 4.8956, + "mean_token_accuracy": 0.24125270992517472, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.799620962142944, + "epoch": 7.366996132359261, + "grad_norm": 1.3984375, + "learning_rate": 0.00013569733389183126, + "loss": 4.9952, + "mean_token_accuracy": 0.22822352200746537, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.758121490478516, + "epoch": 7.371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.00013543638934148736, + "loss": 4.9296, + "mean_token_accuracy": 0.23435905277729036, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.814731168746948, + "epoch": 7.37559088955737, + "grad_norm": 1.359375, + "learning_rate": 0.000135175749542286, + "loss": 4.9821, + "mean_token_accuracy": 0.22124236524105073, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.67050518989563, + "epoch": 7.379888268156424, + "grad_norm": 1.21875, + "learning_rate": 0.0001349154150633604, + "loss": 4.8697, + "mean_token_accuracy": 0.2459047943353653, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.741513633728028, + "epoch": 7.384185646755479, + "grad_norm": 1.2578125, + "learning_rate": 0.000134655386473177, + "loss": 5.0171, + "mean_token_accuracy": 0.22208292037248611, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.637994432449341, + "epoch": 7.3884830253545335, + "grad_norm": 1.4375, + "learning_rate": 0.00013439566433953427, + "loss": 4.892, + "mean_token_accuracy": 0.2412777841091156, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.720129156112671, + "epoch": 7.392780403953588, + "grad_norm": 1.3359375, + "learning_rate": 0.0001341362492295616, + "loss": 4.89, + "mean_token_accuracy": 0.2424454867839813, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.777584362030029, + "epoch": 7.397077782552643, + "grad_norm": 1.46875, + "learning_rate": 0.00013387714170971776, + "loss": 4.9287, + "mean_token_accuracy": 0.22944550216197968, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.785937261581421, + "epoch": 7.401375161151697, + "grad_norm": 1.265625, + "learning_rate": 0.00013361834234579012, + "loss": 5.0178, + "mean_token_accuracy": 0.22616576850414277, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.6717626571655275, + "epoch": 7.405672539750752, + "grad_norm": 1.3671875, + "learning_rate": 0.0001333598517028931, + "loss": 4.9006, + "mean_token_accuracy": 0.23272989243268966, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.688118124008179, + "epoch": 7.409969918349806, + "grad_norm": 1.3125, + "learning_rate": 0.00013310167034546688, + "loss": 4.887, + "mean_token_accuracy": 0.2374843627214432, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.749850463867188, + "epoch": 7.414267296948861, + "grad_norm": 1.3984375, + "learning_rate": 0.0001328437988372763, + "loss": 4.9595, + "mean_token_accuracy": 0.22750054448843002, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.756968069076538, + "epoch": 7.418564675547916, + "grad_norm": 1.3125, + "learning_rate": 0.00013258623774140967, + "loss": 4.9342, + "mean_token_accuracy": 0.2360052227973938, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.706060266494751, + "epoch": 7.422862054146971, + "grad_norm": 1.375, + "learning_rate": 0.00013232898762027766, + "loss": 4.8852, + "mean_token_accuracy": 0.2418963521718979, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.772034740447998, + "epoch": 7.427159432746025, + "grad_norm": 1.2734375, + "learning_rate": 0.00013207204903561154, + "loss": 4.978, + "mean_token_accuracy": 0.23209577053785324, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.702054405212403, + "epoch": 7.43145681134508, + "grad_norm": 1.234375, + "learning_rate": 0.00013181542254846247, + "loss": 4.8473, + "mean_token_accuracy": 0.2422897547483444, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.75566291809082, + "epoch": 7.435754189944134, + "grad_norm": 1.390625, + "learning_rate": 0.0001315591087192002, + "loss": 4.9831, + "mean_token_accuracy": 0.2323268622159958, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.655916357040406, + "epoch": 7.440051568543189, + "grad_norm": 1.234375, + "learning_rate": 0.00013130310810751162, + "loss": 4.8862, + "mean_token_accuracy": 0.23978102058172227, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.784155988693238, + "epoch": 7.4443489471422435, + "grad_norm": 1.3671875, + "learning_rate": 0.00013104742127239983, + "loss": 5.016, + "mean_token_accuracy": 0.22613199800252914, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.7693627834320065, + "epoch": 7.448646325741298, + "grad_norm": 1.1484375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9986, + "mean_token_accuracy": 0.22481437474489213, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.737584114074707, + "epoch": 7.452943704340353, + "grad_norm": 1.375, + "learning_rate": 0.00013053699116449144, + "loss": 4.9084, + "mean_token_accuracy": 0.22960878312587737, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.89331545829773, + "epoch": 7.457241082939407, + "grad_norm": 1.203125, + "learning_rate": 0.00013028224900627026, + "loss": 5.0301, + "mean_token_accuracy": 0.21912138164043427, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.803331756591797, + "epoch": 7.461538461538462, + "grad_norm": 1.0625, + "learning_rate": 0.00013002782285377395, + "loss": 4.9622, + "mean_token_accuracy": 0.2376553386449814, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.750441551208496, + "epoch": 7.465835840137516, + "grad_norm": 1.4375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9946, + "mean_token_accuracy": 0.2235792651772499, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.789198493957519, + "epoch": 7.470133218736571, + "grad_norm": 1.5, + "learning_rate": 0.00012951992078752528, + "loss": 4.9474, + "mean_token_accuracy": 0.2321646735072136, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.744178915023804, + "epoch": 7.474430597335625, + "grad_norm": 1.1953125, + "learning_rate": 0.00012926644598282798, + "loss": 4.9459, + "mean_token_accuracy": 0.22402314394712447, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.74596061706543, + "epoch": 7.47872797593468, + "grad_norm": 1.234375, + "learning_rate": 0.0001290132894019634, + "loss": 4.9661, + "mean_token_accuracy": 0.23607563078403473, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.778988885879516, + "epoch": 7.483025354533734, + "grad_norm": 1.28125, + "learning_rate": 0.00012876045159772442, + "loss": 4.9489, + "mean_token_accuracy": 0.23937921822071076, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.773708295822144, + "epoch": 7.487322733132789, + "grad_norm": 1.3359375, + "learning_rate": 0.00012850793312220766, + "loss": 4.9283, + "mean_token_accuracy": 0.23426500260829924, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.674078750610351, + "epoch": 7.4916201117318435, + "grad_norm": 1.25, + "learning_rate": 0.00012825573452681266, + "loss": 4.8773, + "mean_token_accuracy": 0.24968714416027069, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.735969209671021, + "epoch": 7.495917490330898, + "grad_norm": 1.375, + "learning_rate": 0.00012800385636224017, + "loss": 4.9358, + "mean_token_accuracy": 0.23501814007759095, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.747404956817627, + "epoch": 7.500214868929953, + "grad_norm": 1.40625, + "learning_rate": 0.00012775229917849162, + "loss": 4.9054, + "mean_token_accuracy": 0.23629093021154404, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.761697673797608, + "epoch": 7.504512247529007, + "grad_norm": 1.234375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8979, + "mean_token_accuracy": 0.2428216427564621, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.700611209869384, + "epoch": 7.508809626128062, + "grad_norm": 1.171875, + "learning_rate": 0.00012725014994996534, + "loss": 4.9339, + "mean_token_accuracy": 0.24504542350769043, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.807457494735718, + "epoch": 7.513107004727116, + "grad_norm": 1.25, + "learning_rate": 0.00012699955900168075, + "loss": 4.9282, + "mean_token_accuracy": 0.229953795671463, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.729871797561645, + "epoch": 7.517404383326171, + "grad_norm": 1.3046875, + "learning_rate": 0.00012674929122720414, + "loss": 4.9777, + "mean_token_accuracy": 0.2232517972588539, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.635332775115967, + "epoch": 7.521701761925225, + "grad_norm": 1.2265625, + "learning_rate": 0.0001264993471730202, + "loss": 4.8575, + "mean_token_accuracy": 0.24274646639823913, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.737993383407593, + "epoch": 7.52599914052428, + "grad_norm": 1.3046875, + "learning_rate": 0.00012624972738490675, + "loss": 5.0013, + "mean_token_accuracy": 0.22250534743070602, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.810367679595947, + "epoch": 7.530296519123334, + "grad_norm": 1.21875, + "learning_rate": 0.00012600043240793368, + "loss": 4.9765, + "mean_token_accuracy": 0.2321833461523056, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.74908938407898, + "epoch": 7.534593897722389, + "grad_norm": 1.3671875, + "learning_rate": 0.00012575146278646175, + "loss": 4.8922, + "mean_token_accuracy": 0.23532313406467437, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.7044130802154545, + "epoch": 7.5388912763214435, + "grad_norm": 1.21875, + "learning_rate": 0.00012550281906414097, + "loss": 4.9005, + "mean_token_accuracy": 0.23530834317207336, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.754625558853149, + "epoch": 7.543188654920499, + "grad_norm": 1.234375, + "learning_rate": 0.00012525450178390972, + "loss": 4.9416, + "mean_token_accuracy": 0.2437831625342369, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.779452610015869, + "epoch": 7.547486033519553, + "grad_norm": 1.3046875, + "learning_rate": 0.0001250065114879939, + "loss": 4.9461, + "mean_token_accuracy": 0.23520458936691285, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.705014038085937, + "epoch": 7.551783412118608, + "grad_norm": 1.2890625, + "learning_rate": 0.00012475884871790505, + "loss": 4.8667, + "mean_token_accuracy": 0.2412562444806099, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.8083795547485355, + "epoch": 7.556080790717663, + "grad_norm": 1.296875, + "learning_rate": 0.00012451151401443982, + "loss": 5.0036, + "mean_token_accuracy": 0.22445941120386123, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.658902978897094, + "epoch": 7.560378169316717, + "grad_norm": 1.3046875, + "learning_rate": 0.00012426450791767815, + "loss": 4.8297, + "mean_token_accuracy": 0.24630579203367234, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.727620363235474, + "epoch": 7.564675547915772, + "grad_norm": 1.34375, + "learning_rate": 0.00012401783096698283, + "loss": 4.7861, + "mean_token_accuracy": 0.24524826556444168, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.739884567260742, + "epoch": 7.568972926514826, + "grad_norm": 1.203125, + "learning_rate": 0.00012377148370099764, + "loss": 4.9565, + "mean_token_accuracy": 0.22828071862459182, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.752638149261474, + "epoch": 7.573270305113881, + "grad_norm": 1.3046875, + "learning_rate": 0.00012352546665764642, + "loss": 4.9625, + "mean_token_accuracy": 0.22861632257699965, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.631821250915527, + "epoch": 7.577567683712935, + "grad_norm": 1.25, + "learning_rate": 0.00012327978037413219, + "loss": 4.8393, + "mean_token_accuracy": 0.2455634668469429, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.749710655212402, + "epoch": 7.58186506231199, + "grad_norm": 1.3828125, + "learning_rate": 0.00012303442538693564, + "loss": 4.9425, + "mean_token_accuracy": 0.23156363964080812, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.689564323425293, + "epoch": 7.586162440911044, + "grad_norm": 1.390625, + "learning_rate": 0.00012278940223181393, + "loss": 4.8338, + "mean_token_accuracy": 0.23270008265972136, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.725271081924438, + "epoch": 7.590459819510099, + "grad_norm": 1.25, + "learning_rate": 0.00012254471144379964, + "loss": 4.8128, + "mean_token_accuracy": 0.25256053656339644, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.727273273468017, + "epoch": 7.5947571981091535, + "grad_norm": 1.21875, + "learning_rate": 0.00012230035355719968, + "loss": 4.9651, + "mean_token_accuracy": 0.23480646908283234, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.772902631759644, + "epoch": 7.599054576708208, + "grad_norm": 1.2421875, + "learning_rate": 0.0001220563291055941, + "loss": 4.9437, + "mean_token_accuracy": 0.23261293321847915, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.765447664260864, + "epoch": 7.603351955307263, + "grad_norm": 1.3125, + "learning_rate": 0.0001218126386218347, + "loss": 4.9353, + "mean_token_accuracy": 0.23733194619417192, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.6730225563049315, + "epoch": 7.607649333906317, + "grad_norm": 1.3671875, + "learning_rate": 0.00012156928263804403, + "loss": 4.8637, + "mean_token_accuracy": 0.24171005487442015, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.743314933776856, + "epoch": 7.611946712505372, + "grad_norm": 1.421875, + "learning_rate": 0.0001213262616856144, + "loss": 5.0012, + "mean_token_accuracy": 0.2306993141770363, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.747490549087525, + "epoch": 7.616244091104426, + "grad_norm": 1.4453125, + "learning_rate": 0.00012108357629520635, + "loss": 4.9057, + "mean_token_accuracy": 0.2387942299246788, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.7210612297058105, + "epoch": 7.620541469703481, + "grad_norm": 1.34375, + "learning_rate": 0.00012084122699674785, + "loss": 4.8936, + "mean_token_accuracy": 0.23947659581899644, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.73658299446106, + "epoch": 7.624838848302535, + "grad_norm": 1.375, + "learning_rate": 0.00012059921431943278, + "loss": 4.943, + "mean_token_accuracy": 0.22805553525686265, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.778007841110229, + "epoch": 7.62913622690159, + "grad_norm": 1.4453125, + "learning_rate": 0.00012035753879172026, + "loss": 5.1314, + "mean_token_accuracy": 0.21736743450164794, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.67980465888977, + "epoch": 7.633433605500644, + "grad_norm": 1.375, + "learning_rate": 0.00012011620094133296, + "loss": 4.7809, + "mean_token_accuracy": 0.25052584558725355, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.683636951446533, + "epoch": 7.637730984099699, + "grad_norm": 1.2421875, + "learning_rate": 0.00011987520129525622, + "loss": 4.923, + "mean_token_accuracy": 0.2359049841761589, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.739316749572754, + "epoch": 7.6420283626987535, + "grad_norm": 1.46875, + "learning_rate": 0.000119634540379737, + "loss": 4.9459, + "mean_token_accuracy": 0.23375426828861237, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.769543027877807, + "epoch": 7.646325741297808, + "grad_norm": 1.3359375, + "learning_rate": 0.00011939421872028262, + "loss": 4.9518, + "mean_token_accuracy": 0.2293008342385292, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.688256788253784, + "epoch": 7.650623119896863, + "grad_norm": 1.296875, + "learning_rate": 0.00011915423684165948, + "loss": 4.8695, + "mean_token_accuracy": 0.2363400101661682, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.784082841873169, + "epoch": 7.654920498495917, + "grad_norm": 1.21875, + "learning_rate": 0.00011891459526789198, + "loss": 4.9513, + "mean_token_accuracy": 0.23087790459394456, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.750850200653076, + "epoch": 7.659217877094972, + "grad_norm": 1.2578125, + "learning_rate": 0.0001186752945222616, + "loss": 4.9408, + "mean_token_accuracy": 0.230193392932415, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.741831827163696, + "epoch": 7.663515255694026, + "grad_norm": 1.171875, + "learning_rate": 0.00011843633512730562, + "loss": 4.891, + "mean_token_accuracy": 0.23511849343776703, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.710381603240966, + "epoch": 7.667812634293082, + "grad_norm": 1.28125, + "learning_rate": 0.00011819771760481576, + "loss": 4.9056, + "mean_token_accuracy": 0.24004074782133103, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.659539985656738, + "epoch": 7.672110012892135, + "grad_norm": 1.3203125, + "learning_rate": 0.00011795944247583725, + "loss": 4.827, + "mean_token_accuracy": 0.2396245777606964, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.710673809051514, + "epoch": 7.676407391491191, + "grad_norm": 1.2265625, + "learning_rate": 0.00011772151026066789, + "loss": 4.8812, + "mean_token_accuracy": 0.23135425001382828, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.770887327194214, + "epoch": 7.680704770090245, + "grad_norm": 1.2421875, + "learning_rate": 0.00011748392147885642, + "loss": 5.0019, + "mean_token_accuracy": 0.22777645140886307, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.739024114608765, + "epoch": 7.6850021486893, + "grad_norm": 1.5390625, + "learning_rate": 0.00011724667664920177, + "loss": 4.9316, + "mean_token_accuracy": 0.23300305306911467, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.772635078430175, + "epoch": 7.689299527288354, + "grad_norm": 1.375, + "learning_rate": 0.00011700977628975183, + "loss": 5.0259, + "mean_token_accuracy": 0.22466233223676682, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.75628547668457, + "epoch": 7.693596905887409, + "grad_norm": 1.359375, + "learning_rate": 0.00011677322091780243, + "loss": 4.9441, + "mean_token_accuracy": 0.230313977599144, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.782389211654663, + "epoch": 7.6978942844864635, + "grad_norm": 1.3125, + "learning_rate": 0.0001165370110498958, + "loss": 4.9823, + "mean_token_accuracy": 0.22912768721580506, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.8072168827056885, + "epoch": 7.702191663085518, + "grad_norm": 1.3125, + "learning_rate": 0.00011630114720181989, + "loss": 4.9706, + "mean_token_accuracy": 0.2286185145378113, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.725326013565064, + "epoch": 7.706489041684573, + "grad_norm": 1.3046875, + "learning_rate": 0.00011606562988860711, + "loss": 4.9052, + "mean_token_accuracy": 0.23271812498569489, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.704691696166992, + "epoch": 7.710786420283627, + "grad_norm": 1.1796875, + "learning_rate": 0.0001158304596245332, + "loss": 4.8801, + "mean_token_accuracy": 0.23317846804857253, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.673254013061523, + "epoch": 7.715083798882682, + "grad_norm": 1.265625, + "learning_rate": 0.00011559563692311595, + "loss": 4.8871, + "mean_token_accuracy": 0.2425983503460884, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.715083312988281, + "epoch": 7.719381177481736, + "grad_norm": 1.25, + "learning_rate": 0.00011536116229711422, + "loss": 4.87, + "mean_token_accuracy": 0.23960913121700286, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.771728086471557, + "epoch": 7.723678556080791, + "grad_norm": 1.2734375, + "learning_rate": 0.000115127036258527, + "loss": 4.9468, + "mean_token_accuracy": 0.22923657298088074, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.707568883895874, + "epoch": 7.727975934679845, + "grad_norm": 1.375, + "learning_rate": 0.00011489325931859185, + "loss": 4.8257, + "mean_token_accuracy": 0.2456026166677475, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.703813886642456, + "epoch": 7.7322733132789, + "grad_norm": 1.2578125, + "learning_rate": 0.0001146598319877843, + "loss": 4.884, + "mean_token_accuracy": 0.2391938716173172, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.542284931685473, + "eval_loss": 5.893875598907471, + "eval_mean_token_accuracy": 0.18242550859445925, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0469, + "eval_samples_per_second": 1733.83, + "eval_steps_per_second": 216.912, + "step": 9000 + }, + { + "entropy": 5.730257511138916, + "epoch": 7.736570691877954, + "grad_norm": 1.40625, + "learning_rate": 0.00011442675477581621, + "loss": 4.946, + "mean_token_accuracy": 0.23982110470533372, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.769806432723999, + "epoch": 7.740868070477009, + "grad_norm": 1.2890625, + "learning_rate": 0.0001141940281916352, + "loss": 4.8663, + "mean_token_accuracy": 0.23052393943071364, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.7794060707092285, + "epoch": 7.7451654490760635, + "grad_norm": 1.2578125, + "learning_rate": 0.00011396165274342304, + "loss": 4.9934, + "mean_token_accuracy": 0.2219093069434166, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.702830696105957, + "epoch": 7.749462827675118, + "grad_norm": 1.2421875, + "learning_rate": 0.00011372962893859471, + "loss": 4.9375, + "mean_token_accuracy": 0.22916385978460313, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.685720300674438, + "epoch": 7.753760206274173, + "grad_norm": 1.28125, + "learning_rate": 0.00011349795728379759, + "loss": 4.9439, + "mean_token_accuracy": 0.2307956948876381, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.757158088684082, + "epoch": 7.758057584873227, + "grad_norm": 1.3046875, + "learning_rate": 0.00011326663828491, + "loss": 5.0021, + "mean_token_accuracy": 0.22755355685949324, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.731455373764038, + "epoch": 7.762354963472282, + "grad_norm": 1.4140625, + "learning_rate": 0.00011303567244704015, + "loss": 4.9722, + "mean_token_accuracy": 0.23510894626379014, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.787262058258056, + "epoch": 7.766652342071336, + "grad_norm": 1.296875, + "learning_rate": 0.00011280506027452502, + "loss": 5.0529, + "mean_token_accuracy": 0.21928364634513856, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.7590248584747314, + "epoch": 7.770949720670391, + "grad_norm": 1.3828125, + "learning_rate": 0.0001125748022709295, + "loss": 4.9702, + "mean_token_accuracy": 0.23275834918022156, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.787170457839966, + "epoch": 7.775247099269445, + "grad_norm": 1.2421875, + "learning_rate": 0.00011234489893904509, + "loss": 4.9795, + "mean_token_accuracy": 0.2291556641459465, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.732330751419068, + "epoch": 7.7795444778685, + "grad_norm": 1.3125, + "learning_rate": 0.00011211535078088869, + "loss": 4.8429, + "mean_token_accuracy": 0.24395294189453126, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.7382737159729, + "epoch": 7.783841856467554, + "grad_norm": 1.375, + "learning_rate": 0.00011188615829770171, + "loss": 4.9092, + "mean_token_accuracy": 0.23593527376651763, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.710181808471679, + "epoch": 7.788139235066609, + "grad_norm": 1.375, + "learning_rate": 0.00011165732198994905, + "loss": 4.9434, + "mean_token_accuracy": 0.23322095423936845, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.713530969619751, + "epoch": 7.792436613665664, + "grad_norm": 1.375, + "learning_rate": 0.00011142884235731756, + "loss": 4.9257, + "mean_token_accuracy": 0.23757666498422622, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.7721363544464115, + "epoch": 7.796733992264718, + "grad_norm": 1.5390625, + "learning_rate": 0.00011120071989871564, + "loss": 5.0154, + "mean_token_accuracy": 0.2297023668885231, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.661825942993164, + "epoch": 7.8010313708637735, + "grad_norm": 1.2109375, + "learning_rate": 0.00011097295511227134, + "loss": 4.8963, + "mean_token_accuracy": 0.2394334778189659, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.722220945358276, + "epoch": 7.805328749462827, + "grad_norm": 1.296875, + "learning_rate": 0.0001107455484953321, + "loss": 4.9024, + "mean_token_accuracy": 0.23700267672538758, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6848217964172365, + "epoch": 7.809626128061883, + "grad_norm": 1.34375, + "learning_rate": 0.00011051850054446306, + "loss": 4.9151, + "mean_token_accuracy": 0.23075505644083022, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.663630819320678, + "epoch": 7.813923506660937, + "grad_norm": 1.4375, + "learning_rate": 0.00011029181175544603, + "loss": 4.8506, + "mean_token_accuracy": 0.2431934058666229, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.792266893386841, + "epoch": 7.818220885259992, + "grad_norm": 1.4140625, + "learning_rate": 0.00011006548262327884, + "loss": 5.0166, + "mean_token_accuracy": 0.23040284514427184, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.806525135040284, + "epoch": 7.822518263859046, + "grad_norm": 1.2890625, + "learning_rate": 0.0001098395136421739, + "loss": 4.9812, + "mean_token_accuracy": 0.22473449409008026, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.760424566268921, + "epoch": 7.826815642458101, + "grad_norm": 1.1875, + "learning_rate": 0.00010961390530555712, + "loss": 4.9704, + "mean_token_accuracy": 0.22575420886278152, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.756677484512329, + "epoch": 7.831113021057155, + "grad_norm": 1.265625, + "learning_rate": 0.00010938865810606682, + "loss": 4.9295, + "mean_token_accuracy": 0.23352717459201813, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.738250303268432, + "epoch": 7.83541039965621, + "grad_norm": 1.1875, + "learning_rate": 0.00010916377253555293, + "loss": 4.9336, + "mean_token_accuracy": 0.22934698015451432, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.708257818222046, + "epoch": 7.839707778255264, + "grad_norm": 1.328125, + "learning_rate": 0.00010893924908507573, + "loss": 4.8916, + "mean_token_accuracy": 0.2412150412797928, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7717221736907955, + "epoch": 7.844005156854319, + "grad_norm": 1.390625, + "learning_rate": 0.0001087150882449046, + "loss": 4.9687, + "mean_token_accuracy": 0.23071876615285875, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.744738292694092, + "epoch": 7.8483025354533735, + "grad_norm": 1.265625, + "learning_rate": 0.00010849129050451717, + "loss": 4.9183, + "mean_token_accuracy": 0.23448994606733323, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.703471088409424, + "epoch": 7.852599914052428, + "grad_norm": 1.234375, + "learning_rate": 0.00010826785635259842, + "loss": 4.8756, + "mean_token_accuracy": 0.23654707819223403, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.713053512573242, + "epoch": 7.856897292651483, + "grad_norm": 1.4765625, + "learning_rate": 0.00010804478627703903, + "loss": 4.8403, + "mean_token_accuracy": 0.2534535199403763, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.770458030700683, + "epoch": 7.861194671250537, + "grad_norm": 1.6015625, + "learning_rate": 0.00010782208076493508, + "loss": 4.9587, + "mean_token_accuracy": 0.23223767578601837, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.747208118438721, + "epoch": 7.865492049849592, + "grad_norm": 1.3359375, + "learning_rate": 0.00010759974030258621, + "loss": 4.9428, + "mean_token_accuracy": 0.2311663582921028, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.7243444442749025, + "epoch": 7.869789428448646, + "grad_norm": 1.1796875, + "learning_rate": 0.00010737776537549531, + "loss": 4.9326, + "mean_token_accuracy": 0.24079572409391403, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.710455989837646, + "epoch": 7.874086807047701, + "grad_norm": 1.3515625, + "learning_rate": 0.00010715615646836679, + "loss": 4.8984, + "mean_token_accuracy": 0.23725621849298478, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.641438770294189, + "epoch": 7.878384185646755, + "grad_norm": 1.21875, + "learning_rate": 0.00010693491406510585, + "loss": 4.8848, + "mean_token_accuracy": 0.2445200726389885, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.747666835784912, + "epoch": 7.88268156424581, + "grad_norm": 1.328125, + "learning_rate": 0.00010671403864881757, + "loss": 4.9711, + "mean_token_accuracy": 0.2317958801984787, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.759106779098511, + "epoch": 7.8869789428448644, + "grad_norm": 1.2421875, + "learning_rate": 0.00010649353070180562, + "loss": 4.9623, + "mean_token_accuracy": 0.2380196452140808, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.734574794769287, + "epoch": 7.891276321443919, + "grad_norm": 1.296875, + "learning_rate": 0.00010627339070557118, + "loss": 4.9401, + "mean_token_accuracy": 0.24096089154481887, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.685746860504151, + "epoch": 7.8955737000429735, + "grad_norm": 1.2734375, + "learning_rate": 0.00010605361914081194, + "loss": 4.854, + "mean_token_accuracy": 0.24479493349790574, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.758388519287109, + "epoch": 7.899871078642028, + "grad_norm": 1.1640625, + "learning_rate": 0.00010583421648742125, + "loss": 4.8878, + "mean_token_accuracy": 0.24218843132257462, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.73368878364563, + "epoch": 7.904168457241083, + "grad_norm": 1.34375, + "learning_rate": 0.00010561518322448673, + "loss": 4.993, + "mean_token_accuracy": 0.22797715663909912, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.702595281600952, + "epoch": 7.908465835840137, + "grad_norm": 1.4140625, + "learning_rate": 0.00010539651983028955, + "loss": 4.868, + "mean_token_accuracy": 0.2413019374012947, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.685127592086792, + "epoch": 7.912763214439192, + "grad_norm": 1.3671875, + "learning_rate": 0.0001051782267823031, + "loss": 4.8558, + "mean_token_accuracy": 0.24108621031045913, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.721054267883301, + "epoch": 7.917060593038247, + "grad_norm": 1.3515625, + "learning_rate": 0.00010496030455719225, + "loss": 4.9251, + "mean_token_accuracy": 0.23336865305900573, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.724647521972656, + "epoch": 7.921357971637301, + "grad_norm": 1.34375, + "learning_rate": 0.00010474275363081193, + "loss": 4.9328, + "mean_token_accuracy": 0.23269153237342835, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.702741193771362, + "epoch": 7.925655350236356, + "grad_norm": 1.375, + "learning_rate": 0.0001045255744782064, + "loss": 4.9025, + "mean_token_accuracy": 0.24020729959011078, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.816455984115601, + "epoch": 7.92995272883541, + "grad_norm": 1.28125, + "learning_rate": 0.00010430876757360817, + "loss": 4.9837, + "mean_token_accuracy": 0.22814977616071702, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.668118476867676, + "epoch": 7.934250107434465, + "grad_norm": 1.359375, + "learning_rate": 0.00010409233339043694, + "loss": 4.8047, + "mean_token_accuracy": 0.24403645545244218, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.670865440368653, + "epoch": 7.93854748603352, + "grad_norm": 1.3359375, + "learning_rate": 0.00010387627240129838, + "loss": 4.8691, + "mean_token_accuracy": 0.23790572285652162, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.739948797225952, + "epoch": 7.942844864632574, + "grad_norm": 1.1953125, + "learning_rate": 0.00010366058507798326, + "loss": 4.9214, + "mean_token_accuracy": 0.2339615508913994, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.705602979660034, + "epoch": 7.947142243231629, + "grad_norm": 1.296875, + "learning_rate": 0.00010344527189146655, + "loss": 4.9528, + "mean_token_accuracy": 0.2274705156683922, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.739188241958618, + "epoch": 7.9514396218306835, + "grad_norm": 1.1875, + "learning_rate": 0.00010323033331190626, + "loss": 4.9274, + "mean_token_accuracy": 0.23373161852359772, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.76418023109436, + "epoch": 7.955737000429738, + "grad_norm": 1.3125, + "learning_rate": 0.00010301576980864228, + "loss": 4.8603, + "mean_token_accuracy": 0.2446628138422966, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.694305419921875, + "epoch": 7.960034379028793, + "grad_norm": 1.3671875, + "learning_rate": 0.00010280158185019547, + "loss": 4.9073, + "mean_token_accuracy": 0.24446062594652176, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.697159719467163, + "epoch": 7.964331757627847, + "grad_norm": 1.15625, + "learning_rate": 0.00010258776990426686, + "loss": 4.927, + "mean_token_accuracy": 0.24162409752607344, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.729753589630127, + "epoch": 7.968629136226902, + "grad_norm": 1.4375, + "learning_rate": 0.00010237433443773612, + "loss": 4.9118, + "mean_token_accuracy": 0.23850051164627076, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.655977869033814, + "epoch": 7.972926514825956, + "grad_norm": 1.203125, + "learning_rate": 0.00010216127591666115, + "loss": 4.9269, + "mean_token_accuracy": 0.24168841391801835, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.739932727813721, + "epoch": 7.977223893425011, + "grad_norm": 1.5234375, + "learning_rate": 0.00010194859480627648, + "loss": 4.9567, + "mean_token_accuracy": 0.2386748567223549, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.675134468078613, + "epoch": 7.981521272024065, + "grad_norm": 1.203125, + "learning_rate": 0.00010173629157099279, + "loss": 4.9575, + "mean_token_accuracy": 0.2281126633286476, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.714840936660766, + "epoch": 7.98581865062312, + "grad_norm": 1.15625, + "learning_rate": 0.00010152436667439537, + "loss": 4.9519, + "mean_token_accuracy": 0.23581907600164415, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.750794839859009, + "epoch": 7.9901160292221745, + "grad_norm": 1.3125, + "learning_rate": 0.00010131282057924345, + "loss": 4.888, + "mean_token_accuracy": 0.23815936595201492, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.780832004547119, + "epoch": 7.994413407821229, + "grad_norm": 1.25, + "learning_rate": 0.00010110165374746924, + "loss": 4.8951, + "mean_token_accuracy": 0.24371608346700668, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.744164609909058, + "epoch": 7.9987107864202835, + "grad_norm": 1.28125, + "learning_rate": 0.00010089086664017674, + "loss": 5.0412, + "mean_token_accuracy": 0.22926397770643234, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.742586241828071, + "epoch": 8.002578427159433, + "grad_norm": 1.296875, + "learning_rate": 0.00010068045971764067, + "loss": 4.8669, + "mean_token_accuracy": 0.240800850921207, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.752298831939697, + "epoch": 8.006875805758487, + "grad_norm": 1.3203125, + "learning_rate": 0.00010047043343930561, + "loss": 4.9556, + "mean_token_accuracy": 0.239510677754879, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.703397274017334, + "epoch": 8.011173184357542, + "grad_norm": 1.359375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7841, + "mean_token_accuracy": 0.2428373247385025, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.756609344482422, + "epoch": 8.015470562956596, + "grad_norm": 1.265625, + "learning_rate": 0.00010005152464886031, + "loss": 4.8276, + "mean_token_accuracy": 0.23863828033208848, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.721332359313965, + "epoch": 8.019767941555651, + "grad_norm": 1.21875, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2455083206295967, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.687017393112183, + "epoch": 8.024065320154705, + "grad_norm": 1.21875, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.2540111944079399, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.612176132202149, + "epoch": 8.02836269875376, + "grad_norm": 1.234375, + "learning_rate": 9.942602773296971e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.2532846137881279, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.7741395950317385, + "epoch": 8.032660077352816, + "grad_norm": 1.2578125, + "learning_rate": 9.921829492156223e-05, + "loss": 4.9684, + "mean_token_accuracy": 0.23141839802265168, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.75913782119751, + "epoch": 8.03695745595187, + "grad_norm": 1.5, + "learning_rate": 9.901094594713933e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23183894604444505, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.784180068969727, + "epoch": 8.041254834550925, + "grad_norm": 1.28125, + "learning_rate": 9.88039812624682e-05, + "loss": 4.9053, + "mean_token_accuracy": 0.23992706537246705, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.799221658706665, + "epoch": 8.045552213149978, + "grad_norm": 1.1328125, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2353417918086052, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.754740142822266, + "epoch": 8.049849591749034, + "grad_norm": 1.265625, + "learning_rate": 9.839120656925407e-05, + "loss": 4.9271, + "mean_token_accuracy": 0.2309979572892189, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.699716949462891, + "epoch": 8.054146970348087, + "grad_norm": 1.3046875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8744, + "mean_token_accuracy": 0.23718750476837158, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.7823670387268065, + "epoch": 8.058444348947143, + "grad_norm": 1.5, + "learning_rate": 9.797997444725745e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24111505299806596, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.69295825958252, + "epoch": 8.062741727546197, + "grad_norm": 1.28125, + "learning_rate": 9.77749379734506e-05, + "loss": 4.8774, + "mean_token_accuracy": 0.24546006321907043, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.734280729293824, + "epoch": 8.067039106145252, + "grad_norm": 1.3359375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23956651538610457, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.702370309829712, + "epoch": 8.071336484744306, + "grad_norm": 1.2734375, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.23692873120307922, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.742789077758789, + "epoch": 8.075633863343361, + "grad_norm": 1.265625, + "learning_rate": 9.716215227086997e-05, + "loss": 4.832, + "mean_token_accuracy": 0.24452268034219743, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.737786293029785, + "epoch": 8.079931241942415, + "grad_norm": 1.2421875, + "learning_rate": 9.695866642971098e-05, + "loss": 4.8761, + "mean_token_accuracy": 0.23521246314048766, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.735822296142578, + "epoch": 8.08422862054147, + "grad_norm": 1.3046875, + "learning_rate": 9.67555693596621e-05, + "loss": 4.922, + "mean_token_accuracy": 0.23624190241098403, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.697363328933716, + "epoch": 8.088525999140524, + "grad_norm": 1.2890625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24786596596240998, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.631302261352539, + "epoch": 8.09282337773958, + "grad_norm": 1.234375, + "learning_rate": 9.635054330597565e-05, + "loss": 4.7635, + "mean_token_accuracy": 0.2543473169207573, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.75023717880249, + "epoch": 8.097120756338633, + "grad_norm": 1.3515625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.24282941818237305, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.703547573089599, + "epoch": 8.101418134937688, + "grad_norm": 1.3359375, + "learning_rate": 9.594707764746881e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24557766914367676, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.64467306137085, + "epoch": 8.105715513536742, + "grad_norm": 1.2265625, + "learning_rate": 9.57459310682e-05, + "loss": 4.8587, + "mean_token_accuracy": 0.23592619597911835, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.759531688690186, + "epoch": 8.110012892135797, + "grad_norm": 1.2265625, + "learning_rate": 9.554517590817055e-05, + "loss": 4.9168, + "mean_token_accuracy": 0.22910912930965424, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.783081340789795, + "epoch": 8.114310270734851, + "grad_norm": 1.1953125, + "learning_rate": 9.534481260574944e-05, + "loss": 4.9094, + "mean_token_accuracy": 0.2321816936135292, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.742900657653808, + "epoch": 8.118607649333907, + "grad_norm": 1.25, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8874, + "mean_token_accuracy": 0.2349926143884659, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.771203088760376, + "epoch": 8.12290502793296, + "grad_norm": 1.3359375, + "learning_rate": 9.494526332292899e-05, + "loss": 4.9252, + "mean_token_accuracy": 0.23223545551300048, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.734961462020874, + "epoch": 8.127202406532016, + "grad_norm": 1.265625, + "learning_rate": 9.47460782149857e-05, + "loss": 4.9111, + "mean_token_accuracy": 0.2386125445365906, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.759470748901367, + "epoch": 8.13149978513107, + "grad_norm": 1.234375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.22731278389692305, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.70623517036438, + "epoch": 8.135797163730125, + "grad_norm": 1.2890625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24042012691497802, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.785218620300293, + "epoch": 8.140094542329178, + "grad_norm": 1.2421875, + "learning_rate": 9.415088624172997e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.23537793904542922, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.756191349029541, + "epoch": 8.144391920928234, + "grad_norm": 1.296875, + "learning_rate": 9.395327814490439e-05, + "loss": 4.931, + "mean_token_accuracy": 0.23400909453630447, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.731492424011231, + "epoch": 8.148689299527287, + "grad_norm": 1.3515625, + "learning_rate": 9.375606538175566e-05, + "loss": 4.8581, + "mean_token_accuracy": 0.24122172892093657, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.7561249256134035, + "epoch": 8.152986678126343, + "grad_norm": 1.2265625, + "learning_rate": 9.35592483829175e-05, + "loss": 4.9404, + "mean_token_accuracy": 0.23250404745340347, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.7169372081756595, + "epoch": 8.157284056725398, + "grad_norm": 1.3046875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.9114, + "mean_token_accuracy": 0.23848976343870162, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.70046215057373, + "epoch": 8.161581435324452, + "grad_norm": 1.3125, + "learning_rate": 9.316680339638664e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23490447849035262, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.563689900948121, + "eval_loss": 5.894437789916992, + "eval_mean_token_accuracy": 0.18221602075406024, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.101, + "eval_steps_per_second": 216.32, + "step": 9500 + }, + { + "entropy": 5.79104528427124, + "epoch": 8.165878813923507, + "grad_norm": 1.4140625, + "learning_rate": 9.297117626563687e-05, + "loss": 4.9393, + "mean_token_accuracy": 0.2395332857966423, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.732816505432129, + "epoch": 8.170176192522561, + "grad_norm": 1.2890625, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8743, + "mean_token_accuracy": 0.24095906615257262, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.6882086277008055, + "epoch": 8.174473571121617, + "grad_norm": 1.1796875, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.25059460252523424, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.7441253662109375, + "epoch": 8.17877094972067, + "grad_norm": 1.2421875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.8633, + "mean_token_accuracy": 0.23739856630563735, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.712777185440063, + "epoch": 8.183068328319726, + "grad_norm": 1.21875, + "learning_rate": 9.219264678327527e-05, + "loss": 4.8583, + "mean_token_accuracy": 0.24061242938041688, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.691803932189941, + "epoch": 8.18736570691878, + "grad_norm": 1.2890625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.8485, + "mean_token_accuracy": 0.24647330194711686, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.782800197601318, + "epoch": 8.191663085517835, + "grad_norm": 1.21875, + "learning_rate": 9.180577541342164e-05, + "loss": 4.964, + "mean_token_accuracy": 0.23249762654304504, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.714890718460083, + "epoch": 8.195960464116888, + "grad_norm": 1.328125, + "learning_rate": 9.161293955196648e-05, + "loss": 4.8682, + "mean_token_accuracy": 0.24433981478214264, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.783798694610596, + "epoch": 8.200257842715944, + "grad_norm": 1.328125, + "learning_rate": 9.142050413455214e-05, + "loss": 4.9286, + "mean_token_accuracy": 0.23019878268241883, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.750073575973511, + "epoch": 8.204555221314997, + "grad_norm": 1.2109375, + "learning_rate": 9.12284695813807e-05, + "loss": 4.9038, + "mean_token_accuracy": 0.24520579278469085, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.727174139022827, + "epoch": 8.208852599914053, + "grad_norm": 1.3359375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.8673, + "mean_token_accuracy": 0.24208441823720933, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.729988098144531, + "epoch": 8.213149978513107, + "grad_norm": 1.53125, + "learning_rate": 9.084560474419701e-05, + "loss": 4.8634, + "mean_token_accuracy": 0.2391197621822357, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.759287405014038, + "epoch": 8.217447357112162, + "grad_norm": 1.3671875, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8879, + "mean_token_accuracy": 0.23471090346574783, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.7283953666687015, + "epoch": 8.221744735711216, + "grad_norm": 1.3828125, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8983, + "mean_token_accuracy": 0.23679854422807695, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.797110462188721, + "epoch": 8.226042114310271, + "grad_norm": 1.375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9725, + "mean_token_accuracy": 0.22504952549934387, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.758984994888306, + "epoch": 8.230339492909325, + "grad_norm": 1.359375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9832, + "mean_token_accuracy": 0.23178735971450806, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.73343677520752, + "epoch": 8.23463687150838, + "grad_norm": 1.3671875, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.24406977444887162, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.700839996337891, + "epoch": 8.238934250107434, + "grad_norm": 1.3359375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.8358, + "mean_token_accuracy": 0.24239999651908875, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.75614857673645, + "epoch": 8.24323162870649, + "grad_norm": 1.25, + "learning_rate": 8.951826639309257e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23965495973825454, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.700466012954712, + "epoch": 8.247529007305543, + "grad_norm": 1.375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24223389178514482, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.698475551605225, + "epoch": 8.251826385904598, + "grad_norm": 1.359375, + "learning_rate": 8.914266583627684e-05, + "loss": 4.8291, + "mean_token_accuracy": 0.24232960790395736, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.786036348342895, + "epoch": 8.256123764503652, + "grad_norm": 1.4375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.905, + "mean_token_accuracy": 0.23367423713207244, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.71298189163208, + "epoch": 8.260421143102707, + "grad_norm": 1.296875, + "learning_rate": 8.876868863110013e-05, + "loss": 4.9215, + "mean_token_accuracy": 0.23382412493228913, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.784276628494263, + "epoch": 8.264718521701761, + "grad_norm": 1.234375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.8705, + "mean_token_accuracy": 0.23859835118055345, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.768792533874512, + "epoch": 8.269015900300817, + "grad_norm": 1.25, + "learning_rate": 8.839633804402747e-05, + "loss": 4.9358, + "mean_token_accuracy": 0.23131754696369172, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.767839860916138, + "epoch": 8.27331327889987, + "grad_norm": 1.4453125, + "learning_rate": 8.821077374916647e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.24630177915096282, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.680627489089966, + "epoch": 8.277610657498926, + "grad_norm": 1.375, + "learning_rate": 8.802561732731654e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.2398720934987068, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.7917811393737795, + "epoch": 8.281908036097981, + "grad_norm": 1.2265625, + "learning_rate": 8.784086918278534e-05, + "loss": 4.9316, + "mean_token_accuracy": 0.22891969829797745, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.692333650588989, + "epoch": 8.286205414697035, + "grad_norm": 1.2890625, + "learning_rate": 8.765652971898908e-05, + "loss": 4.8077, + "mean_token_accuracy": 0.24528621435165404, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.738155460357666, + "epoch": 8.29050279329609, + "grad_norm": 1.4140625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.9463, + "mean_token_accuracy": 0.24599668383598328, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.774512910842896, + "epoch": 8.294800171895144, + "grad_norm": 1.2265625, + "learning_rate": 8.728907844280254e-05, + "loss": 4.9443, + "mean_token_accuracy": 0.23179508298635482, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.730475330352784, + "epoch": 8.2990975504942, + "grad_norm": 1.421875, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8814, + "mean_token_accuracy": 0.2452605828642845, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.730258941650391, + "epoch": 8.303394929093253, + "grad_norm": 1.3671875, + "learning_rate": 8.692326670822207e-05, + "loss": 4.8157, + "mean_token_accuracy": 0.2448845013976097, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.740361738204956, + "epoch": 8.307692307692308, + "grad_norm": 1.2890625, + "learning_rate": 8.6740976668077e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.2443626791238785, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.683072328567505, + "epoch": 8.311989686291362, + "grad_norm": 1.4296875, + "learning_rate": 8.655909771039239e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.24255885183811188, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.764631128311157, + "epoch": 8.316287064890417, + "grad_norm": 1.5546875, + "learning_rate": 8.637763023231922e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.23544830977916717, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.629233980178833, + "epoch": 8.320584443489471, + "grad_norm": 1.3828125, + "learning_rate": 8.619657463010987e-05, + "loss": 4.7745, + "mean_token_accuracy": 0.24312002211809158, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.785550355911255, + "epoch": 8.324881822088527, + "grad_norm": 1.4296875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.9774, + "mean_token_accuracy": 0.23317618519067765, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.765936279296875, + "epoch": 8.32917920068758, + "grad_norm": 1.25, + "learning_rate": 8.583570063379487e-05, + "loss": 4.908, + "mean_token_accuracy": 0.24077682793140412, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.728990364074707, + "epoch": 8.333476579286636, + "grad_norm": 1.390625, + "learning_rate": 8.565588302769374e-05, + "loss": 4.848, + "mean_token_accuracy": 0.23626988530158996, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.673337030410766, + "epoch": 8.33777395788569, + "grad_norm": 1.3046875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.8609, + "mean_token_accuracy": 0.24892795085906982, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.765714406967163, + "epoch": 8.342071336484745, + "grad_norm": 1.2734375, + "learning_rate": 8.529748856285228e-05, + "loss": 4.8606, + "mean_token_accuracy": 0.2417272850871086, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.737577295303344, + "epoch": 8.346368715083798, + "grad_norm": 1.359375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.2430541396141052, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.78171010017395, + "epoch": 8.350666093682854, + "grad_norm": 1.4375, + "learning_rate": 8.494075103495245e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23714551329612732, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.782537889480591, + "epoch": 8.354963472281907, + "grad_norm": 1.3125, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8997, + "mean_token_accuracy": 0.22940298169851303, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.75561261177063, + "epoch": 8.359260850880963, + "grad_norm": 1.2890625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.9546, + "mean_token_accuracy": 0.22492529600858688, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.705477094650268, + "epoch": 8.363558229480017, + "grad_norm": 1.1171875, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8802, + "mean_token_accuracy": 0.2351899713277817, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.730382871627808, + "epoch": 8.367855608079072, + "grad_norm": 1.2578125, + "learning_rate": 8.423225923902608e-05, + "loss": 4.8545, + "mean_token_accuracy": 0.2428334668278694, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.678792095184326, + "epoch": 8.372152986678126, + "grad_norm": 1.3515625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.8015, + "mean_token_accuracy": 0.2536479622125626, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.7832560539245605, + "epoch": 8.376450365277181, + "grad_norm": 1.2265625, + "learning_rate": 8.388051115924781e-05, + "loss": 4.9787, + "mean_token_accuracy": 0.22999690473079681, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.733207416534424, + "epoch": 8.380747743876235, + "grad_norm": 1.328125, + "learning_rate": 8.370526292042774e-05, + "loss": 4.8385, + "mean_token_accuracy": 0.24650791734457017, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.665503215789795, + "epoch": 8.38504512247529, + "grad_norm": 1.5234375, + "learning_rate": 8.353043239285357e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.2454715371131897, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.736371994018555, + "epoch": 8.389342501074344, + "grad_norm": 1.4140625, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8971, + "mean_token_accuracy": 0.2377567008137703, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.739968490600586, + "epoch": 8.3936398796734, + "grad_norm": 1.2890625, + "learning_rate": 8.318202599757008e-05, + "loss": 4.9148, + "mean_token_accuracy": 0.23634277582168578, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.708938121795654, + "epoch": 8.397937258272453, + "grad_norm": 1.3671875, + "learning_rate": 8.30084508906411e-05, + "loss": 4.8183, + "mean_token_accuracy": 0.24032998383045195, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.693941688537597, + "epoch": 8.402234636871508, + "grad_norm": 1.3828125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8933, + "mean_token_accuracy": 0.2311558097600937, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.720448160171509, + "epoch": 8.406532015470564, + "grad_norm": 1.2734375, + "learning_rate": 8.266255875330095e-05, + "loss": 4.8376, + "mean_token_accuracy": 0.24367564618587495, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.707212591171265, + "epoch": 8.410829394069617, + "grad_norm": 1.359375, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8865, + "mean_token_accuracy": 0.23894913047552108, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.717279958724975, + "epoch": 8.415126772668673, + "grad_norm": 1.21875, + "learning_rate": 8.231834656742402e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2380632221698761, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.745273447036743, + "epoch": 8.419424151267727, + "grad_norm": 1.359375, + "learning_rate": 8.214687139638494e-05, + "loss": 4.9124, + "mean_token_accuracy": 0.24023134857416154, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.7758644104003904, + "epoch": 8.423721529866782, + "grad_norm": 1.453125, + "learning_rate": 8.197581733949597e-05, + "loss": 4.8666, + "mean_token_accuracy": 0.25315709263086317, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.774426078796386, + "epoch": 8.428018908465836, + "grad_norm": 1.4609375, + "learning_rate": 8.180518477027083e-05, + "loss": 4.8961, + "mean_token_accuracy": 0.23910606354475022, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.620084571838379, + "epoch": 8.432316287064891, + "grad_norm": 1.28125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.24886348992586135, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.8178997993469235, + "epoch": 8.436613665663945, + "grad_norm": 1.265625, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9902, + "mean_token_accuracy": 0.2252660185098648, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.741954326629639, + "epoch": 8.440911044263, + "grad_norm": 1.4140625, + "learning_rate": 8.129581970990507e-05, + "loss": 4.8553, + "mean_token_accuracy": 0.24823236614465713, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.732809400558471, + "epoch": 8.445208422862054, + "grad_norm": 1.4140625, + "learning_rate": 8.11268768080528e-05, + "loss": 4.8564, + "mean_token_accuracy": 0.23900128602981568, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.7832074642181395, + "epoch": 8.44950580146111, + "grad_norm": 1.4609375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.9673, + "mean_token_accuracy": 0.22997304052114487, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.718025875091553, + "epoch": 8.453803180060163, + "grad_norm": 1.46875, + "learning_rate": 8.079026139655946e-05, + "loss": 4.9255, + "mean_token_accuracy": 0.23200517892837524, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.685693693161011, + "epoch": 8.458100558659218, + "grad_norm": 1.296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.8057, + "mean_token_accuracy": 0.2456534430384636, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.726854228973389, + "epoch": 8.462397937258272, + "grad_norm": 1.46875, + "learning_rate": 8.04553422899167e-05, + "loss": 4.8925, + "mean_token_accuracy": 0.23469093143939973, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.708572816848755, + "epoch": 8.466695315857327, + "grad_norm": 1.2890625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.946, + "mean_token_accuracy": 0.23586695939302443, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.7173912525177, + "epoch": 8.470992694456381, + "grad_norm": 1.3125, + "learning_rate": 8.01221224134408e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.24219889491796492, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.743465614318848, + "epoch": 8.475290073055437, + "grad_norm": 1.3671875, + "learning_rate": 7.995615059661907e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.2368515193462372, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.759069204330444, + "epoch": 8.47958745165449, + "grad_norm": 1.3359375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.904, + "mean_token_accuracy": 0.24082816541194915, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.689574384689331, + "epoch": 8.483884830253546, + "grad_norm": 1.4375, + "learning_rate": 7.962548501788811e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.24400141090154648, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.72466893196106, + "epoch": 8.4881822088526, + "grad_norm": 1.390625, + "learning_rate": 7.946079197802028e-05, + "loss": 4.9225, + "mean_token_accuracy": 0.23353277146816254, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.713424777984619, + "epoch": 8.492479587451655, + "grad_norm": 1.5, + "learning_rate": 7.929652591762636e-05, + "loss": 4.911, + "mean_token_accuracy": 0.2364127442240715, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.730654716491699, + "epoch": 8.496776966050708, + "grad_norm": 1.4296875, + "learning_rate": 7.913268719539785e-05, + "loss": 4.9171, + "mean_token_accuracy": 0.2429963693022728, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.689770078659057, + "epoch": 8.501074344649764, + "grad_norm": 1.359375, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7824, + "mean_token_accuracy": 0.2481196016073227, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.751080274581909, + "epoch": 8.505371723248818, + "grad_norm": 1.25, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8956, + "mean_token_accuracy": 0.24801230430603027, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.73831958770752, + "epoch": 8.509669101847873, + "grad_norm": 1.296875, + "learning_rate": 7.864373863061717e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.24250307977199553, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.7382752895355225, + "epoch": 8.513966480446927, + "grad_norm": 1.4453125, + "learning_rate": 7.848161282929006e-05, + "loss": 4.8881, + "mean_token_accuracy": 0.2407060906291008, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.776788902282715, + "epoch": 8.518263859045982, + "grad_norm": 1.3671875, + "learning_rate": 7.831991614557274e-05, + "loss": 4.903, + "mean_token_accuracy": 0.23019613772630693, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.7528174877166744, + "epoch": 8.522561237645036, + "grad_norm": 1.359375, + "learning_rate": 7.815864893254619e-05, + "loss": 4.891, + "mean_token_accuracy": 0.2360119715332985, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.7316086769104, + "epoch": 8.526858616244091, + "grad_norm": 1.3203125, + "learning_rate": 7.799781154235361e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.24154060184955597, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.808560800552368, + "epoch": 8.531155994843147, + "grad_norm": 1.453125, + "learning_rate": 7.783740432619954e-05, + "loss": 4.9671, + "mean_token_accuracy": 0.22287265360355377, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.714200210571289, + "epoch": 8.5354533734422, + "grad_norm": 1.3828125, + "learning_rate": 7.767742763434922e-05, + "loss": 4.9079, + "mean_token_accuracy": 0.23346690237522125, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.666274166107177, + "epoch": 8.539750752041256, + "grad_norm": 1.28125, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24585407674312593, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.755437517166138, + "epoch": 8.54404813064031, + "grad_norm": 1.390625, + "learning_rate": 7.735876721991945e-05, + "loss": 4.9507, + "mean_token_accuracy": 0.23148660957813263, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.743089199066162, + "epoch": 8.548345509239365, + "grad_norm": 1.2265625, + "learning_rate": 7.720008419316708e-05, + "loss": 4.9242, + "mean_token_accuracy": 0.2357686460018158, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.700260353088379, + "epoch": 8.552642887838418, + "grad_norm": 1.2734375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.8213, + "mean_token_accuracy": 0.24597719609737395, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.662213611602783, + "epoch": 8.556940266437474, + "grad_norm": 1.2421875, + "learning_rate": 7.688401423308799e-05, + "loss": 4.8233, + "mean_token_accuracy": 0.2466511309146881, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.671461486816407, + "epoch": 8.561237645036528, + "grad_norm": 1.4296875, + "learning_rate": 7.672662798993174e-05, + "loss": 4.8247, + "mean_token_accuracy": 0.2511079117655754, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.7380656719207765, + "epoch": 8.565535023635583, + "grad_norm": 1.328125, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8936, + "mean_token_accuracy": 0.242263326048851, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.707980823516846, + "epoch": 8.569832402234637, + "grad_norm": 1.328125, + "learning_rate": 7.641315469572841e-05, + "loss": 4.8431, + "mean_token_accuracy": 0.24148163497447966, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.769561052322388, + "epoch": 8.574129780833692, + "grad_norm": 1.1953125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.24106623828411103, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.753009605407715, + "epoch": 8.578427159432746, + "grad_norm": 1.3359375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.996, + "mean_token_accuracy": 0.2327938124537468, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.748133611679077, + "epoch": 8.582724538031801, + "grad_norm": 1.3984375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.9078, + "mean_token_accuracy": 0.23580171167850494, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.725798463821411, + "epoch": 8.587021916630855, + "grad_norm": 1.4140625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.8523, + "mean_token_accuracy": 0.2376137688755989, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.7189679622650145, + "epoch": 8.59131929522991, + "grad_norm": 1.4765625, + "learning_rate": 7.563706600833737e-05, + "loss": 4.9063, + "mean_token_accuracy": 0.2349215939640999, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.534239016137682, + "eval_loss": 5.892942428588867, + "eval_mean_token_accuracy": 0.18259063309377377, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0512, + "eval_samples_per_second": 1730.231, + "eval_steps_per_second": 216.462, + "step": 10000 + }, + { + "entropy": 5.641706037521362, + "epoch": 8.595616673828964, + "grad_norm": 1.4921875, + "learning_rate": 7.548315290675886e-05, + "loss": 4.8364, + "mean_token_accuracy": 0.24370339065790175, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.677710723876953, + "epoch": 8.59991405242802, + "grad_norm": 1.265625, + "learning_rate": 7.532967547022825e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24187945276498796, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.703868246078491, + "epoch": 8.604211431027073, + "grad_norm": 1.4296875, + "learning_rate": 7.517663403387874e-05, + "loss": 4.9387, + "mean_token_accuracy": 0.24121222794055938, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.684072017669678, + "epoch": 8.608508809626128, + "grad_norm": 1.390625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.8142, + "mean_token_accuracy": 0.24965679943561553, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.795586156845093, + "epoch": 8.612806188225182, + "grad_norm": 1.2421875, + "learning_rate": 7.487186049749618e-05, + "loss": 4.94, + "mean_token_accuracy": 0.2302323043346405, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.720360326766968, + "epoch": 8.617103566824238, + "grad_norm": 1.296875, + "learning_rate": 7.472012906296658e-05, + "loss": 4.8775, + "mean_token_accuracy": 0.2409013941884041, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.712895488739013, + "epoch": 8.621400945423291, + "grad_norm": 1.140625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.8676, + "mean_token_accuracy": 0.24006159454584122, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.727213191986084, + "epoch": 8.625698324022347, + "grad_norm": 1.3515625, + "learning_rate": 7.441797851783402e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23364521861076354, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.717015218734741, + "epoch": 8.6299957026214, + "grad_norm": 1.3984375, + "learning_rate": 7.426756006700716e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.2373197704553604, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.744679689407349, + "epoch": 8.634293081220456, + "grad_norm": 1.5078125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.9657, + "mean_token_accuracy": 0.233807535469532, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.769802045822144, + "epoch": 8.63859045981951, + "grad_norm": 1.375, + "learning_rate": 7.396803845110032e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.24051254242658615, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.7355225563049315, + "epoch": 8.642887838418565, + "grad_norm": 1.34375, + "learning_rate": 7.381893594005585e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23913937211036682, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.714138078689575, + "epoch": 8.647185217017618, + "grad_norm": 1.359375, + "learning_rate": 7.367027272804387e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23634449243545533, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.708312606811523, + "epoch": 8.651482595616674, + "grad_norm": 1.3203125, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8902, + "mean_token_accuracy": 0.2456353023648262, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.745303821563721, + "epoch": 8.65577997421573, + "grad_norm": 1.171875, + "learning_rate": 7.337426549864175e-05, + "loss": 4.9334, + "mean_token_accuracy": 0.2344992771744728, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.734985256195069, + "epoch": 8.660077352814783, + "grad_norm": 1.234375, + "learning_rate": 7.322692212761306e-05, + "loss": 4.9354, + "mean_token_accuracy": 0.2361741617321968, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.7485943794250485, + "epoch": 8.664374731413837, + "grad_norm": 1.40625, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8799, + "mean_token_accuracy": 0.23693183660507203, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.751676893234253, + "epoch": 8.668672110012892, + "grad_norm": 1.375, + "learning_rate": 7.29335574815948e-05, + "loss": 4.8746, + "mean_token_accuracy": 0.2360835403203964, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.717150449752808, + "epoch": 8.672969488611947, + "grad_norm": 1.2421875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8798, + "mean_token_accuracy": 0.23987387418746947, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.727327728271485, + "epoch": 8.677266867211001, + "grad_norm": 1.3828125, + "learning_rate": 7.264195776399386e-05, + "loss": 4.9107, + "mean_token_accuracy": 0.2364715039730072, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.72551212310791, + "epoch": 8.681564245810057, + "grad_norm": 1.359375, + "learning_rate": 7.249682054987381e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24308911412954332, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.7901074409484865, + "epoch": 8.68586162440911, + "grad_norm": 1.2734375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.9607, + "mean_token_accuracy": 0.22461001873016356, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.70100040435791, + "epoch": 8.690159003008166, + "grad_norm": 1.28125, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8989, + "mean_token_accuracy": 0.24264244586229325, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.7278729438781735, + "epoch": 8.69445638160722, + "grad_norm": 1.375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7711, + "mean_token_accuracy": 0.24757508635520936, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.711657571792602, + "epoch": 8.698753760206275, + "grad_norm": 1.328125, + "learning_rate": 7.192069670816359e-05, + "loss": 4.9244, + "mean_token_accuracy": 0.23145184218883513, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.706142997741699, + "epoch": 8.703051138805328, + "grad_norm": 1.4921875, + "learning_rate": 7.177777357395912e-05, + "loss": 4.869, + "mean_token_accuracy": 0.24197168052196502, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.698826265335083, + "epoch": 8.707348517404384, + "grad_norm": 1.375, + "learning_rate": 7.163529419587002e-05, + "loss": 4.8753, + "mean_token_accuracy": 0.23961719274520873, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.773096561431885, + "epoch": 8.711645896003438, + "grad_norm": 1.328125, + "learning_rate": 7.149325888501418e-05, + "loss": 4.9558, + "mean_token_accuracy": 0.23473044633865356, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.736195468902588, + "epoch": 8.715943274602493, + "grad_norm": 1.234375, + "learning_rate": 7.135166795153992e-05, + "loss": 4.8505, + "mean_token_accuracy": 0.24684498012065886, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.727258586883545, + "epoch": 8.720240653201547, + "grad_norm": 1.359375, + "learning_rate": 7.121052170462541e-05, + "loss": 4.9381, + "mean_token_accuracy": 0.23492728620767594, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.653642177581787, + "epoch": 8.724538031800602, + "grad_norm": 1.4453125, + "learning_rate": 7.106982045247754e-05, + "loss": 4.7844, + "mean_token_accuracy": 0.2551065072417259, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.728663206100464, + "epoch": 8.728835410399656, + "grad_norm": 1.265625, + "learning_rate": 7.092956450233162e-05, + "loss": 4.9391, + "mean_token_accuracy": 0.24017365425825118, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.741170835494995, + "epoch": 8.733132788998711, + "grad_norm": 1.265625, + "learning_rate": 7.078975416045055e-05, + "loss": 4.8778, + "mean_token_accuracy": 0.23747024983167647, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.669637441635132, + "epoch": 8.737430167597765, + "grad_norm": 1.53125, + "learning_rate": 7.065038973212424e-05, + "loss": 4.7584, + "mean_token_accuracy": 0.24721809923648835, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.723529863357544, + "epoch": 8.74172754619682, + "grad_norm": 1.4375, + "learning_rate": 7.051147152166896e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24353028535842897, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.661523246765137, + "epoch": 8.746024924795874, + "grad_norm": 1.140625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.8357, + "mean_token_accuracy": 0.246757473051548, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.713498783111572, + "epoch": 8.75032230339493, + "grad_norm": 1.3203125, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.23697651624679567, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.72203483581543, + "epoch": 8.754619681993983, + "grad_norm": 1.21875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.8597, + "mean_token_accuracy": 0.24536042660474777, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.74442343711853, + "epoch": 8.758917060593038, + "grad_norm": 1.265625, + "learning_rate": 6.996026691076531e-05, + "loss": 5.0015, + "mean_token_accuracy": 0.22911013662815094, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.722520256042481, + "epoch": 8.763214439192092, + "grad_norm": 1.2890625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24856774657964706, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.815678882598877, + "epoch": 8.767511817791148, + "grad_norm": 1.3515625, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.22747452706098556, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.694711017608642, + "epoch": 8.771809196390201, + "grad_norm": 1.34375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.24590101689100266, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.781192684173584, + "epoch": 8.776106574989257, + "grad_norm": 1.359375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.951, + "mean_token_accuracy": 0.22873226106166838, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.702016830444336, + "epoch": 8.780403953588312, + "grad_norm": 1.3359375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.8938, + "mean_token_accuracy": 0.23844954818487168, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.728512763977051, + "epoch": 8.784701332187366, + "grad_norm": 1.359375, + "learning_rate": 6.914689765206899e-05, + "loss": 4.7987, + "mean_token_accuracy": 0.24630094319581985, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.751327037811279, + "epoch": 8.78899871078642, + "grad_norm": 1.421875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.8531, + "mean_token_accuracy": 0.24052831828594207, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.749263572692871, + "epoch": 8.793296089385475, + "grad_norm": 1.1640625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.9199, + "mean_token_accuracy": 0.23125884532928467, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.678548955917359, + "epoch": 8.79759346798453, + "grad_norm": 1.3046875, + "learning_rate": 6.874627729967086e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.24363392889499663, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.715464544296265, + "epoch": 8.801890846583584, + "grad_norm": 1.203125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.8535, + "mean_token_accuracy": 0.23847707211971284, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.643958950042725, + "epoch": 8.80618822518264, + "grad_norm": 1.453125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.8387, + "mean_token_accuracy": 0.24321892559528352, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.664030075073242, + "epoch": 8.810485603781693, + "grad_norm": 1.3984375, + "learning_rate": 6.834971032259537e-05, + "loss": 4.8397, + "mean_token_accuracy": 0.24072007983922958, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.690808057785034, + "epoch": 8.814782982380748, + "grad_norm": 1.390625, + "learning_rate": 6.821842342962786e-05, + "loss": 4.8475, + "mean_token_accuracy": 0.24447838515043258, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.677191877365113, + "epoch": 8.819080360979802, + "grad_norm": 1.359375, + "learning_rate": 6.808758806497375e-05, + "loss": 4.8447, + "mean_token_accuracy": 0.2524683356285095, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.745322799682617, + "epoch": 8.823377739578858, + "grad_norm": 1.375, + "learning_rate": 6.795720451432509e-05, + "loss": 4.8406, + "mean_token_accuracy": 0.24409451335668564, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.740674781799316, + "epoch": 8.827675118177911, + "grad_norm": 1.28125, + "learning_rate": 6.782727306238749e-05, + "loss": 4.9852, + "mean_token_accuracy": 0.22357712537050248, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.644893312454224, + "epoch": 8.831972496776967, + "grad_norm": 1.421875, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7822, + "mean_token_accuracy": 0.24160815626382828, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.71365647315979, + "epoch": 8.83626987537602, + "grad_norm": 1.3046875, + "learning_rate": 6.756876758853104e-05, + "loss": 4.8656, + "mean_token_accuracy": 0.2417924225330353, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.710398960113525, + "epoch": 8.840567253975076, + "grad_norm": 1.5546875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.8521, + "mean_token_accuracy": 0.2444690704345703, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.7455525398254395, + "epoch": 8.84486463257413, + "grad_norm": 1.3671875, + "learning_rate": 6.731207390129366e-05, + "loss": 4.9434, + "mean_token_accuracy": 0.23295524716377258, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.734651517868042, + "epoch": 8.849162011173185, + "grad_norm": 1.1875, + "learning_rate": 6.7184407178921e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23881399929523467, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.749492120742798, + "epoch": 8.853459389772238, + "grad_norm": 1.4453125, + "learning_rate": 6.70571942427399e-05, + "loss": 4.9559, + "mean_token_accuracy": 0.23205118924379348, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.75962724685669, + "epoch": 8.857756768371294, + "grad_norm": 1.3515625, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9813, + "mean_token_accuracy": 0.23050196915864946, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.70353946685791, + "epoch": 8.862054146970348, + "grad_norm": 1.328125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.929, + "mean_token_accuracy": 0.23658778071403502, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.786187076568604, + "epoch": 8.866351525569403, + "grad_norm": 1.2421875, + "learning_rate": 6.667828092420977e-05, + "loss": 4.9266, + "mean_token_accuracy": 0.2431049346923828, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.698891353607178, + "epoch": 8.870648904168457, + "grad_norm": 1.2734375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.8974, + "mean_token_accuracy": 0.24344006329774856, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.65026216506958, + "epoch": 8.874946282767512, + "grad_norm": 1.2890625, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8883, + "mean_token_accuracy": 0.2407523512840271, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.705488920211792, + "epoch": 8.879243661366566, + "grad_norm": 1.3046875, + "learning_rate": 6.630346162204069e-05, + "loss": 4.8524, + "mean_token_accuracy": 0.2402828097343445, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.685500717163086, + "epoch": 8.883541039965621, + "grad_norm": 1.484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.7906, + "mean_token_accuracy": 0.2516307681798935, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.78669924736023, + "epoch": 8.887838418564675, + "grad_norm": 1.515625, + "learning_rate": 6.605586018168558e-05, + "loss": 4.9008, + "mean_token_accuracy": 0.24112697392702104, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.7594961643219, + "epoch": 8.89213579716373, + "grad_norm": 1.25, + "learning_rate": 6.593274370232191e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23973492234945298, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.6986674785614015, + "epoch": 8.896433175762784, + "grad_norm": 1.265625, + "learning_rate": 6.581008374228255e-05, + "loss": 4.8829, + "mean_token_accuracy": 0.2380861073732376, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.688055086135864, + "epoch": 8.90073055436184, + "grad_norm": 1.3125, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8894, + "mean_token_accuracy": 0.239205239713192, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6841371059417725, + "epoch": 8.905027932960895, + "grad_norm": 1.28125, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7971, + "mean_token_accuracy": 0.24701832830905915, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.7468496799469, + "epoch": 8.909325311559948, + "grad_norm": 1.3046875, + "learning_rate": 6.544484565152577e-05, + "loss": 4.8709, + "mean_token_accuracy": 0.24514500945806503, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.707927703857422, + "epoch": 8.913622690159002, + "grad_norm": 1.484375, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8844, + "mean_token_accuracy": 0.24281774312257767, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.734713888168335, + "epoch": 8.917920068758058, + "grad_norm": 1.171875, + "learning_rate": 6.520364107143898e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.24035619348287582, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.757951641082764, + "epoch": 8.922217447357113, + "grad_norm": 1.3046875, + "learning_rate": 6.50837258170615e-05, + "loss": 4.914, + "mean_token_accuracy": 0.2439088225364685, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.776555347442627, + "epoch": 8.926514825956167, + "grad_norm": 1.2890625, + "learning_rate": 6.496426893592397e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.22435057163238525, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.771154832839966, + "epoch": 8.930812204555222, + "grad_norm": 1.421875, + "learning_rate": 6.484527068887258e-05, + "loss": 4.9245, + "mean_token_accuracy": 0.22901748716831208, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.7181800365447994, + "epoch": 8.935109583154276, + "grad_norm": 1.4453125, + "learning_rate": 6.472673133575181e-05, + "loss": 4.8585, + "mean_token_accuracy": 0.23982157111167907, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.724564266204834, + "epoch": 8.939406961753331, + "grad_norm": 1.4140625, + "learning_rate": 6.460865113540437e-05, + "loss": 4.8424, + "mean_token_accuracy": 0.24264838844537734, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.750702953338623, + "epoch": 8.943704340352385, + "grad_norm": 1.34375, + "learning_rate": 6.449103034567011e-05, + "loss": 4.8413, + "mean_token_accuracy": 0.24670601040124893, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.744922637939453, + "epoch": 8.94800171895144, + "grad_norm": 1.375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.9222, + "mean_token_accuracy": 0.23244228661060334, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.760837602615356, + "epoch": 8.952299097550494, + "grad_norm": 1.359375, + "learning_rate": 6.425716802438479e-05, + "loss": 4.9191, + "mean_token_accuracy": 0.23593176901340485, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.6986171245574955, + "epoch": 8.95659647614955, + "grad_norm": 1.3984375, + "learning_rate": 6.414092700349548e-05, + "loss": 4.8862, + "mean_token_accuracy": 0.2431177631020546, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.7580320835113525, + "epoch": 8.960893854748603, + "grad_norm": 1.390625, + "learning_rate": 6.402514641454192e-05, + "loss": 4.9962, + "mean_token_accuracy": 0.22172346264123916, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.723747587203979, + "epoch": 8.965191233347658, + "grad_norm": 1.265625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8953, + "mean_token_accuracy": 0.23904290795326233, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.672523498535156, + "epoch": 8.969488611946712, + "grad_norm": 1.46875, + "learning_rate": 6.379496754271044e-05, + "loss": 4.7194, + "mean_token_accuracy": 0.26136820316314696, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.65635724067688, + "epoch": 8.973785990545768, + "grad_norm": 1.4375, + "learning_rate": 6.368056976245107e-05, + "loss": 4.7667, + "mean_token_accuracy": 0.25870931446552276, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.698014831542968, + "epoch": 8.978083369144821, + "grad_norm": 1.421875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.8663, + "mean_token_accuracy": 0.24248220026493073, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.697885036468506, + "epoch": 8.982380747743877, + "grad_norm": 1.3828125, + "learning_rate": 6.345315876223977e-05, + "loss": 4.8258, + "mean_token_accuracy": 0.24143291264772415, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.692233467102051, + "epoch": 8.98667812634293, + "grad_norm": 1.3359375, + "learning_rate": 6.334014603886256e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24324591606855392, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.684511327743531, + "epoch": 8.990975504941986, + "grad_norm": 1.4296875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24234582334756852, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.649232959747314, + "epoch": 8.99527288354104, + "grad_norm": 1.3671875, + "learning_rate": 6.311550737943753e-05, + "loss": 4.8331, + "mean_token_accuracy": 0.24488990157842636, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.7437886714935305, + "epoch": 8.999570262140095, + "grad_norm": 1.34375, + "learning_rate": 6.300388193391075e-05, + "loss": 4.9086, + "mean_token_accuracy": 0.2353186011314392, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.738433043162028, + "epoch": 9.003437902879243, + "grad_norm": 1.2734375, + "learning_rate": 6.289271940317174e-05, + "loss": 4.9605, + "mean_token_accuracy": 0.22919231487645042, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.701286554336548, + "epoch": 9.007735281478299, + "grad_norm": 1.328125, + "learning_rate": 6.278202002995497e-05, + "loss": 4.8759, + "mean_token_accuracy": 0.238884337246418, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.717434740066528, + "epoch": 9.012032660077352, + "grad_norm": 1.40625, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7925, + "mean_token_accuracy": 0.2569643914699554, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.755046939849853, + "epoch": 9.016330038676408, + "grad_norm": 1.3515625, + "learning_rate": 6.256201172196921e-05, + "loss": 4.8559, + "mean_token_accuracy": 0.2463230550289154, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.735121393203736, + "epoch": 9.020627417275461, + "grad_norm": 1.28125, + "learning_rate": 6.245270326761034e-05, + "loss": 4.8732, + "mean_token_accuracy": 0.23314425498247146, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.559686202723701, + "eval_loss": 5.891933917999268, + "eval_mean_token_accuracy": 0.18310657089894955, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0537, + "eval_samples_per_second": 1728.062, + "eval_steps_per_second": 216.19, + "step": 10500 + }, + { + "entropy": 5.768205690383911, + "epoch": 9.024924795874517, + "grad_norm": 1.4375, + "learning_rate": 6.234385893159311e-05, + "loss": 4.8745, + "mean_token_accuracy": 0.24339525550603866, + "num_tokens": 19095610.0, + "step": 10505 + }, + { + "entropy": 5.7007143020629885, + "epoch": 9.02922217447357, + "grad_norm": 1.390625, + "learning_rate": 6.223547895159009e-05, + "loss": 4.8149, + "mean_token_accuracy": 0.25003656595945356, + "num_tokens": 19103649.0, + "step": 10510 + }, + { + "entropy": 5.641485261917114, + "epoch": 9.033519553072626, + "grad_norm": 1.3046875, + "learning_rate": 6.212756356425978e-05, + "loss": 4.7692, + "mean_token_accuracy": 0.25189306139945983, + "num_tokens": 19112426.0, + "step": 10515 + }, + { + "entropy": 5.722223091125488, + "epoch": 9.03781693167168, + "grad_norm": 1.3359375, + "learning_rate": 6.202011300524623e-05, + "loss": 4.8962, + "mean_token_accuracy": 0.2431654766201973, + "num_tokens": 19121307.0, + "step": 10520 + }, + { + "entropy": 5.768562936782837, + "epoch": 9.042114310270735, + "grad_norm": 1.2578125, + "learning_rate": 6.191312750917855e-05, + "loss": 4.9119, + "mean_token_accuracy": 0.24403591454029083, + "num_tokens": 19129728.0, + "step": 10525 + }, + { + "entropy": 5.696633958816529, + "epoch": 9.046411688869789, + "grad_norm": 1.375, + "learning_rate": 6.180660730967036e-05, + "loss": 4.8368, + "mean_token_accuracy": 0.24488697648048402, + "num_tokens": 19139931.0, + "step": 10530 + }, + { + "entropy": 5.760554838180542, + "epoch": 9.050709067468844, + "grad_norm": 1.34375, + "learning_rate": 6.170055263931912e-05, + "loss": 4.8218, + "mean_token_accuracy": 0.24506218880414962, + "num_tokens": 19148711.0, + "step": 10535 + }, + { + "entropy": 5.7619397163391115, + "epoch": 9.055006446067898, + "grad_norm": 1.375, + "learning_rate": 6.159496372970584e-05, + "loss": 4.8071, + "mean_token_accuracy": 0.24310505241155625, + "num_tokens": 19156937.0, + "step": 10540 + }, + { + "entropy": 5.677298069000244, + "epoch": 9.059303824666953, + "grad_norm": 1.2265625, + "learning_rate": 6.148984081139454e-05, + "loss": 4.8373, + "mean_token_accuracy": 0.2453565239906311, + "num_tokens": 19166449.0, + "step": 10545 + }, + { + "entropy": 5.751143884658814, + "epoch": 9.063601203266007, + "grad_norm": 1.1328125, + "learning_rate": 6.138518411393163e-05, + "loss": 4.9664, + "mean_token_accuracy": 0.23417426645755768, + "num_tokens": 19175757.0, + "step": 10550 + }, + { + "entropy": 5.7382289409637455, + "epoch": 9.067898581865062, + "grad_norm": 1.390625, + "learning_rate": 6.128099386584548e-05, + "loss": 4.8604, + "mean_token_accuracy": 0.2502607494592667, + "num_tokens": 19184638.0, + "step": 10555 + }, + { + "entropy": 5.714648246765137, + "epoch": 9.072195960464116, + "grad_norm": 1.390625, + "learning_rate": 6.1177270294646e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24113665670156478, + "num_tokens": 19193791.0, + "step": 10560 + }, + { + "entropy": 5.68681697845459, + "epoch": 9.076493339063171, + "grad_norm": 1.34375, + "learning_rate": 6.107401362682401e-05, + "loss": 4.9186, + "mean_token_accuracy": 0.23942002207040786, + "num_tokens": 19202595.0, + "step": 10565 + }, + { + "entropy": 5.715084075927734, + "epoch": 9.080790717662227, + "grad_norm": 1.2265625, + "learning_rate": 6.097122408785076e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24075437635183333, + "num_tokens": 19211994.0, + "step": 10570 + }, + { + "entropy": 5.72618145942688, + "epoch": 9.08508809626128, + "grad_norm": 1.3046875, + "learning_rate": 6.086890190217752e-05, + "loss": 4.8462, + "mean_token_accuracy": 0.2431514397263527, + "num_tokens": 19220588.0, + "step": 10575 + }, + { + "entropy": 5.6821825981140135, + "epoch": 9.089385474860336, + "grad_norm": 1.3984375, + "learning_rate": 6.076704729323507e-05, + "loss": 4.7938, + "mean_token_accuracy": 0.24978432357311248, + "num_tokens": 19229679.0, + "step": 10580 + }, + { + "entropy": 5.72755184173584, + "epoch": 9.09368285345939, + "grad_norm": 1.3359375, + "learning_rate": 6.0665660483433173e-05, + "loss": 4.9212, + "mean_token_accuracy": 0.23904457241296767, + "num_tokens": 19239269.0, + "step": 10585 + }, + { + "entropy": 5.739861583709716, + "epoch": 9.097980232058445, + "grad_norm": 1.375, + "learning_rate": 6.05647416941601e-05, + "loss": 4.9112, + "mean_token_accuracy": 0.24730296581983566, + "num_tokens": 19249046.0, + "step": 10590 + }, + { + "entropy": 5.682226276397705, + "epoch": 9.102277610657499, + "grad_norm": 1.34375, + "learning_rate": 6.046429114578212e-05, + "loss": 4.784, + "mean_token_accuracy": 0.2475551262497902, + "num_tokens": 19257398.0, + "step": 10595 + }, + { + "entropy": 5.744178533554077, + "epoch": 9.106574989256554, + "grad_norm": 1.34375, + "learning_rate": 6.0364309057643084e-05, + "loss": 4.8856, + "mean_token_accuracy": 0.2361735597252846, + "num_tokens": 19266619.0, + "step": 10600 + }, + { + "entropy": 5.779590082168579, + "epoch": 9.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 6.0264795648063904e-05, + "loss": 4.8832, + "mean_token_accuracy": 0.24283566623926162, + "num_tokens": 19275837.0, + "step": 10605 + }, + { + "entropy": 5.7637005805969235, + "epoch": 9.115169746454663, + "grad_norm": 1.203125, + "learning_rate": 6.0165751134342155e-05, + "loss": 4.8548, + "mean_token_accuracy": 0.2424402043223381, + "num_tokens": 19284745.0, + "step": 10610 + }, + { + "entropy": 5.722152042388916, + "epoch": 9.119467125053717, + "grad_norm": 1.203125, + "learning_rate": 6.006717573275138e-05, + "loss": 4.8022, + "mean_token_accuracy": 0.24550892412662506, + "num_tokens": 19293956.0, + "step": 10615 + }, + { + "entropy": 5.700108480453491, + "epoch": 9.123764503652772, + "grad_norm": 1.09375, + "learning_rate": 5.996906965854093e-05, + "loss": 4.9131, + "mean_token_accuracy": 0.23563133031129838, + "num_tokens": 19303629.0, + "step": 10620 + }, + { + "entropy": 5.715306329727173, + "epoch": 9.128061882251826, + "grad_norm": 1.421875, + "learning_rate": 5.987143312593522e-05, + "loss": 4.9243, + "mean_token_accuracy": 0.23819719702005387, + "num_tokens": 19312458.0, + "step": 10625 + }, + { + "entropy": 5.679522514343262, + "epoch": 9.132359260850881, + "grad_norm": 1.3671875, + "learning_rate": 5.977426634813338e-05, + "loss": 4.8295, + "mean_token_accuracy": 0.2426922008395195, + "num_tokens": 19321428.0, + "step": 10630 + }, + { + "entropy": 5.7862955093383786, + "epoch": 9.136656639449935, + "grad_norm": 1.3828125, + "learning_rate": 5.9677569537308866e-05, + "loss": 4.9686, + "mean_token_accuracy": 0.22704976350069045, + "num_tokens": 19331176.0, + "step": 10635 + }, + { + "entropy": 5.7446370124816895, + "epoch": 9.14095401804899, + "grad_norm": 1.2890625, + "learning_rate": 5.958134290460888e-05, + "loss": 4.9083, + "mean_token_accuracy": 0.2379206582903862, + "num_tokens": 19340401.0, + "step": 10640 + }, + { + "entropy": 5.678402233123779, + "epoch": 9.145251396648044, + "grad_norm": 1.140625, + "learning_rate": 5.94855866601539e-05, + "loss": 4.8058, + "mean_token_accuracy": 0.24439001679420472, + "num_tokens": 19350700.0, + "step": 10645 + }, + { + "entropy": 5.744732236862182, + "epoch": 9.1495487752471, + "grad_norm": 1.3828125, + "learning_rate": 5.939030101303724e-05, + "loss": 4.8695, + "mean_token_accuracy": 0.2402612566947937, + "num_tokens": 19360040.0, + "step": 10650 + }, + { + "entropy": 5.7309928894042965, + "epoch": 9.153846153846153, + "grad_norm": 1.4140625, + "learning_rate": 5.929548617132472e-05, + "loss": 4.8179, + "mean_token_accuracy": 0.2454057216644287, + "num_tokens": 19368546.0, + "step": 10655 + }, + { + "entropy": 5.6870287418365475, + "epoch": 9.158143532445209, + "grad_norm": 1.4296875, + "learning_rate": 5.920114234205407e-05, + "loss": 4.7862, + "mean_token_accuracy": 0.24816205948591233, + "num_tokens": 19377137.0, + "step": 10660 + }, + { + "entropy": 5.759473419189453, + "epoch": 9.162440911044262, + "grad_norm": 1.3515625, + "learning_rate": 5.910726973123451e-05, + "loss": 4.9586, + "mean_token_accuracy": 0.2330634355545044, + "num_tokens": 19385781.0, + "step": 10665 + }, + { + "entropy": 5.72282657623291, + "epoch": 9.166738289643318, + "grad_norm": 1.3515625, + "learning_rate": 5.901386854384622e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24274778068065644, + "num_tokens": 19395186.0, + "step": 10670 + }, + { + "entropy": 5.77225079536438, + "epoch": 9.171035668242371, + "grad_norm": 1.3828125, + "learning_rate": 5.892093898384017e-05, + "loss": 4.8566, + "mean_token_accuracy": 0.24656753838062287, + "num_tokens": 19404140.0, + "step": 10675 + }, + { + "entropy": 5.730916357040405, + "epoch": 9.175333046841427, + "grad_norm": 1.34375, + "learning_rate": 5.8828481254137276e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24277020394802093, + "num_tokens": 19414481.0, + "step": 10680 + }, + { + "entropy": 5.60438551902771, + "epoch": 9.17963042544048, + "grad_norm": 1.5234375, + "learning_rate": 5.873649555662836e-05, + "loss": 4.7244, + "mean_token_accuracy": 0.24888451993465424, + "num_tokens": 19423259.0, + "step": 10685 + }, + { + "entropy": 5.724711990356445, + "epoch": 9.183927804039536, + "grad_norm": 1.3359375, + "learning_rate": 5.8644982092173335e-05, + "loss": 4.865, + "mean_token_accuracy": 0.24325377345085145, + "num_tokens": 19432011.0, + "step": 10690 + }, + { + "entropy": 5.696267986297608, + "epoch": 9.18822518263859, + "grad_norm": 1.328125, + "learning_rate": 5.85539410606011e-05, + "loss": 4.8452, + "mean_token_accuracy": 0.24142812043428422, + "num_tokens": 19441221.0, + "step": 10695 + }, + { + "entropy": 5.712868976593017, + "epoch": 9.192522561237645, + "grad_norm": 1.3984375, + "learning_rate": 5.8463372660708836e-05, + "loss": 4.8102, + "mean_token_accuracy": 0.2449094161391258, + "num_tokens": 19450014.0, + "step": 10700 + }, + { + "entropy": 5.724195671081543, + "epoch": 9.196819939836699, + "grad_norm": 1.3359375, + "learning_rate": 5.837327709026171e-05, + "loss": 4.9036, + "mean_token_accuracy": 0.2391239047050476, + "num_tokens": 19459480.0, + "step": 10705 + }, + { + "entropy": 5.737326002120971, + "epoch": 9.201117318435754, + "grad_norm": 1.265625, + "learning_rate": 5.8283654545992464e-05, + "loss": 4.9029, + "mean_token_accuracy": 0.23848976492881774, + "num_tokens": 19469111.0, + "step": 10710 + }, + { + "entropy": 5.751066207885742, + "epoch": 9.20541469703481, + "grad_norm": 1.40625, + "learning_rate": 5.819450522360096e-05, + "loss": 4.8419, + "mean_token_accuracy": 0.23905779421329498, + "num_tokens": 19477531.0, + "step": 10715 + }, + { + "entropy": 5.737590551376343, + "epoch": 9.209712075633863, + "grad_norm": 1.4140625, + "learning_rate": 5.810582931775362e-05, + "loss": 4.8554, + "mean_token_accuracy": 0.23738077729940416, + "num_tokens": 19486041.0, + "step": 10720 + }, + { + "entropy": 5.7077555656433105, + "epoch": 9.214009454232919, + "grad_norm": 1.3515625, + "learning_rate": 5.801762702208317e-05, + "loss": 4.8924, + "mean_token_accuracy": 0.24125652760267258, + "num_tokens": 19495514.0, + "step": 10725 + }, + { + "entropy": 5.6811192512512205, + "epoch": 9.218306832831972, + "grad_norm": 1.390625, + "learning_rate": 5.7929898529188215e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.2412465736269951, + "num_tokens": 19503879.0, + "step": 10730 + }, + { + "entropy": 5.684185552597046, + "epoch": 9.222604211431028, + "grad_norm": 1.1640625, + "learning_rate": 5.784264403063272e-05, + "loss": 4.7873, + "mean_token_accuracy": 0.24483999311923982, + "num_tokens": 19513922.0, + "step": 10735 + }, + { + "entropy": 5.6932319641113285, + "epoch": 9.226901590030081, + "grad_norm": 1.4765625, + "learning_rate": 5.775586371694561e-05, + "loss": 4.8255, + "mean_token_accuracy": 0.2445918560028076, + "num_tokens": 19522555.0, + "step": 10740 + }, + { + "entropy": 5.701971054077148, + "epoch": 9.231198968629137, + "grad_norm": 1.1953125, + "learning_rate": 5.7669557777620376e-05, + "loss": 4.8253, + "mean_token_accuracy": 0.2440289631485939, + "num_tokens": 19531245.0, + "step": 10745 + }, + { + "entropy": 5.6902079582214355, + "epoch": 9.23549634722819, + "grad_norm": 1.40625, + "learning_rate": 5.7583726401114756e-05, + "loss": 4.8014, + "mean_token_accuracy": 0.25117970257997513, + "num_tokens": 19540258.0, + "step": 10750 + }, + { + "entropy": 5.7464635372161865, + "epoch": 9.239793725827246, + "grad_norm": 1.390625, + "learning_rate": 5.749836977485013e-05, + "loss": 4.8656, + "mean_token_accuracy": 0.2349914312362671, + "num_tokens": 19550071.0, + "step": 10755 + }, + { + "entropy": 5.686515665054321, + "epoch": 9.2440911044263, + "grad_norm": 1.25, + "learning_rate": 5.741348808521128e-05, + "loss": 4.7854, + "mean_token_accuracy": 0.25020948648452757, + "num_tokens": 19558972.0, + "step": 10760 + }, + { + "entropy": 5.709124660491943, + "epoch": 9.248388483025355, + "grad_norm": 1.28125, + "learning_rate": 5.7329081517545846e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23870760351419448, + "num_tokens": 19568270.0, + "step": 10765 + }, + { + "entropy": 5.750066089630127, + "epoch": 9.252685861624409, + "grad_norm": 1.5703125, + "learning_rate": 5.724515025616409e-05, + "loss": 4.8639, + "mean_token_accuracy": 0.2456628665328026, + "num_tokens": 19576726.0, + "step": 10770 + }, + { + "entropy": 5.721097707748413, + "epoch": 9.256983240223464, + "grad_norm": 1.296875, + "learning_rate": 5.716169448433832e-05, + "loss": 4.8602, + "mean_token_accuracy": 0.23966725170612335, + "num_tokens": 19586706.0, + "step": 10775 + }, + { + "entropy": 5.713471555709839, + "epoch": 9.261280618822518, + "grad_norm": 1.3671875, + "learning_rate": 5.707871438430255e-05, + "loss": 4.8842, + "mean_token_accuracy": 0.23704735487699508, + "num_tokens": 19595370.0, + "step": 10780 + }, + { + "entropy": 5.720728015899658, + "epoch": 9.265577997421573, + "grad_norm": 1.4453125, + "learning_rate": 5.699621013725218e-05, + "loss": 4.9015, + "mean_token_accuracy": 0.24206158965826036, + "num_tokens": 19604134.0, + "step": 10785 + }, + { + "entropy": 5.6510015487670895, + "epoch": 9.269875376020627, + "grad_norm": 1.359375, + "learning_rate": 5.691418192334352e-05, + "loss": 4.8221, + "mean_token_accuracy": 0.25330779552459715, + "num_tokens": 19612716.0, + "step": 10790 + }, + { + "entropy": 5.697645568847657, + "epoch": 9.274172754619682, + "grad_norm": 1.296875, + "learning_rate": 5.683262992169341e-05, + "loss": 4.909, + "mean_token_accuracy": 0.2355555221438408, + "num_tokens": 19621850.0, + "step": 10795 + }, + { + "entropy": 5.688250255584717, + "epoch": 9.278470133218736, + "grad_norm": 1.296875, + "learning_rate": 5.675155431037876e-05, + "loss": 4.8704, + "mean_token_accuracy": 0.24086801260709761, + "num_tokens": 19630706.0, + "step": 10800 + }, + { + "entropy": 5.662147855758667, + "epoch": 9.282767511817791, + "grad_norm": 1.359375, + "learning_rate": 5.6670955266436365e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.2558609426021576, + "num_tokens": 19639364.0, + "step": 10805 + }, + { + "entropy": 5.741171836853027, + "epoch": 9.287064890416845, + "grad_norm": 1.328125, + "learning_rate": 5.659083296586229e-05, + "loss": 4.7906, + "mean_token_accuracy": 0.24558178037405015, + "num_tokens": 19647816.0, + "step": 10810 + }, + { + "entropy": 5.730060243606568, + "epoch": 9.2913622690159, + "grad_norm": 1.2109375, + "learning_rate": 5.6511187583611663e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.24423112869262695, + "num_tokens": 19657136.0, + "step": 10815 + }, + { + "entropy": 5.771777868270874, + "epoch": 9.295659647614954, + "grad_norm": 1.4609375, + "learning_rate": 5.643201929359809e-05, + "loss": 4.8806, + "mean_token_accuracy": 0.2378945991396904, + "num_tokens": 19665676.0, + "step": 10820 + }, + { + "entropy": 5.734367990493775, + "epoch": 9.29995702621401, + "grad_norm": 1.4765625, + "learning_rate": 5.635332826869353e-05, + "loss": 4.8337, + "mean_token_accuracy": 0.24641830772161483, + "num_tokens": 19674415.0, + "step": 10825 + }, + { + "entropy": 5.673384141921997, + "epoch": 9.304254404813063, + "grad_norm": 1.265625, + "learning_rate": 5.6275114680727716e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24797581434249877, + "num_tokens": 19684411.0, + "step": 10830 + }, + { + "entropy": 5.698321294784546, + "epoch": 9.308551783412119, + "grad_norm": 1.4453125, + "learning_rate": 5.619737870048783e-05, + "loss": 4.8224, + "mean_token_accuracy": 0.24377230405807496, + "num_tokens": 19693192.0, + "step": 10835 + }, + { + "entropy": 5.6213613986969, + "epoch": 9.312849162011172, + "grad_norm": 1.34375, + "learning_rate": 5.612012049771823e-05, + "loss": 4.7103, + "mean_token_accuracy": 0.25083507001399996, + "num_tokens": 19701710.0, + "step": 10840 + }, + { + "entropy": 5.7836895942687985, + "epoch": 9.317146540610228, + "grad_norm": 1.265625, + "learning_rate": 5.6043340241119924e-05, + "loss": 4.9229, + "mean_token_accuracy": 0.23689377903938294, + "num_tokens": 19710909.0, + "step": 10845 + }, + { + "entropy": 5.72804274559021, + "epoch": 9.321443919209282, + "grad_norm": 1.296875, + "learning_rate": 5.596703809835033e-05, + "loss": 4.874, + "mean_token_accuracy": 0.23930975049734116, + "num_tokens": 19720634.0, + "step": 10850 + }, + { + "entropy": 5.708077764511108, + "epoch": 9.325741297808337, + "grad_norm": 1.5390625, + "learning_rate": 5.589121423602277e-05, + "loss": 4.8003, + "mean_token_accuracy": 0.24899453520774842, + "num_tokens": 19729763.0, + "step": 10855 + }, + { + "entropy": 5.772850513458252, + "epoch": 9.33003867640739, + "grad_norm": 1.328125, + "learning_rate": 5.581586881970631e-05, + "loss": 4.9386, + "mean_token_accuracy": 0.23242200613021852, + "num_tokens": 19739065.0, + "step": 10860 + }, + { + "entropy": 5.6640668392181395, + "epoch": 9.334336055006446, + "grad_norm": 1.2734375, + "learning_rate": 5.574100201392522e-05, + "loss": 4.7625, + "mean_token_accuracy": 0.25813745260238646, + "num_tokens": 19748519.0, + "step": 10865 + }, + { + "entropy": 5.7350257396697994, + "epoch": 9.338633433605501, + "grad_norm": 1.3515625, + "learning_rate": 5.5666613982158665e-05, + "loss": 4.839, + "mean_token_accuracy": 0.2506720334291458, + "num_tokens": 19757573.0, + "step": 10870 + }, + { + "entropy": 5.762840938568115, + "epoch": 9.342930812204555, + "grad_norm": 1.34375, + "learning_rate": 5.559270488684036e-05, + "loss": 4.9695, + "mean_token_accuracy": 0.22792510986328124, + "num_tokens": 19767534.0, + "step": 10875 + }, + { + "entropy": 5.7635585308074955, + "epoch": 9.34722819080361, + "grad_norm": 1.2265625, + "learning_rate": 5.551927488935826e-05, + "loss": 4.915, + "mean_token_accuracy": 0.2328255593776703, + "num_tokens": 19776929.0, + "step": 10880 + }, + { + "entropy": 5.7432098388671875, + "epoch": 9.351525569402664, + "grad_norm": 1.3515625, + "learning_rate": 5.5446324150054086e-05, + "loss": 4.8966, + "mean_token_accuracy": 0.24054146707057952, + "num_tokens": 19785772.0, + "step": 10885 + }, + { + "entropy": 5.744037818908692, + "epoch": 9.35582294800172, + "grad_norm": 1.15625, + "learning_rate": 5.537385282822315e-05, + "loss": 4.8791, + "mean_token_accuracy": 0.2423680067062378, + "num_tokens": 19796073.0, + "step": 10890 + }, + { + "entropy": 5.719657611846924, + "epoch": 9.360120326600773, + "grad_norm": 1.5234375, + "learning_rate": 5.53018610821138e-05, + "loss": 4.8875, + "mean_token_accuracy": 0.24139334410429, + "num_tokens": 19804511.0, + "step": 10895 + }, + { + "entropy": 5.771108245849609, + "epoch": 9.364417705199829, + "grad_norm": 1.3671875, + "learning_rate": 5.523034906892728e-05, + "loss": 4.9206, + "mean_token_accuracy": 0.24052533209323884, + "num_tokens": 19813348.0, + "step": 10900 + }, + { + "entropy": 5.759429550170898, + "epoch": 9.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 5.515931694481722e-05, + "loss": 4.9221, + "mean_token_accuracy": 0.23646650612354278, + "num_tokens": 19822390.0, + "step": 10905 + }, + { + "entropy": 5.789000034332275, + "epoch": 9.373012462397938, + "grad_norm": 1.34375, + "learning_rate": 5.508876486488936e-05, + "loss": 4.9348, + "mean_token_accuracy": 0.23186779618263245, + "num_tokens": 19832423.0, + "step": 10910 + }, + { + "entropy": 5.708720397949219, + "epoch": 9.377309840996991, + "grad_norm": 1.421875, + "learning_rate": 5.501869298320128e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.23571010082960128, + "num_tokens": 19841271.0, + "step": 10915 + }, + { + "entropy": 5.74044771194458, + "epoch": 9.381607219596047, + "grad_norm": 1.4296875, + "learning_rate": 5.4949101452761995e-05, + "loss": 4.8809, + "mean_token_accuracy": 0.24290914088487625, + "num_tokens": 19850648.0, + "step": 10920 + }, + { + "entropy": 5.731217288970948, + "epoch": 9.3859045981951, + "grad_norm": 1.2109375, + "learning_rate": 5.4879990425531534e-05, + "loss": 4.8185, + "mean_token_accuracy": 0.25113645792007444, + "num_tokens": 19860102.0, + "step": 10925 + }, + { + "entropy": 5.745176935195923, + "epoch": 9.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 5.4811360052420754e-05, + "loss": 4.9093, + "mean_token_accuracy": 0.23800594508647918, + "num_tokens": 19870008.0, + "step": 10930 + }, + { + "entropy": 5.709982967376709, + "epoch": 9.39449935539321, + "grad_norm": 1.15625, + "learning_rate": 5.4743210483290974e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24858268350362778, + "num_tokens": 19879452.0, + "step": 10935 + }, + { + "entropy": 5.79788875579834, + "epoch": 9.398796733992265, + "grad_norm": 1.25, + "learning_rate": 5.467554186695364e-05, + "loss": 4.9251, + "mean_token_accuracy": 0.23087782859802247, + "num_tokens": 19888956.0, + "step": 10940 + }, + { + "entropy": 5.713366889953614, + "epoch": 9.403094112591319, + "grad_norm": 1.2734375, + "learning_rate": 5.4608354351169944e-05, + "loss": 4.8697, + "mean_token_accuracy": 0.24130331128835678, + "num_tokens": 19897760.0, + "step": 10945 + }, + { + "entropy": 5.6680543422698975, + "epoch": 9.407391491190374, + "grad_norm": 1.3984375, + "learning_rate": 5.454164808265057e-05, + "loss": 4.8502, + "mean_token_accuracy": 0.23947279751300812, + "num_tokens": 19905692.0, + "step": 10950 + }, + { + "entropy": 5.671962881088257, + "epoch": 9.411688869789428, + "grad_norm": 1.359375, + "learning_rate": 5.447542320705532e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2486485093832016, + "num_tokens": 19914633.0, + "step": 10955 + }, + { + "entropy": 5.754352760314942, + "epoch": 9.415986248388483, + "grad_norm": 1.3984375, + "learning_rate": 5.440967986899289e-05, + "loss": 4.885, + "mean_token_accuracy": 0.2311162158846855, + "num_tokens": 19922749.0, + "step": 10960 + }, + { + "entropy": 5.722763872146606, + "epoch": 9.420283626987537, + "grad_norm": 1.34375, + "learning_rate": 5.434441821202042e-05, + "loss": 4.8282, + "mean_token_accuracy": 0.24647813886404038, + "num_tokens": 19931274.0, + "step": 10965 + }, + { + "entropy": 5.728282833099366, + "epoch": 9.424581005586592, + "grad_norm": 1.359375, + "learning_rate": 5.42796383786433e-05, + "loss": 4.8605, + "mean_token_accuracy": 0.2373078092932701, + "num_tokens": 19940052.0, + "step": 10970 + }, + { + "entropy": 5.72069993019104, + "epoch": 9.428878384185646, + "grad_norm": 1.234375, + "learning_rate": 5.4215340510314805e-05, + "loss": 4.8635, + "mean_token_accuracy": 0.24039194881916046, + "num_tokens": 19948890.0, + "step": 10975 + }, + { + "entropy": 5.700727844238282, + "epoch": 9.433175762784701, + "grad_norm": 1.234375, + "learning_rate": 5.41515247474358e-05, + "loss": 4.9025, + "mean_token_accuracy": 0.24478237628936766, + "num_tokens": 19958158.0, + "step": 10980 + }, + { + "entropy": 5.762474441528321, + "epoch": 9.437473141383755, + "grad_norm": 1.2578125, + "learning_rate": 5.4088191229354306e-05, + "loss": 4.9555, + "mean_token_accuracy": 0.2400050938129425, + "num_tokens": 19967432.0, + "step": 10985 + }, + { + "entropy": 5.700712060928344, + "epoch": 9.44177051998281, + "grad_norm": 1.296875, + "learning_rate": 5.402534009436552e-05, + "loss": 4.8405, + "mean_token_accuracy": 0.24093716442584992, + "num_tokens": 19977661.0, + "step": 10990 + }, + { + "entropy": 5.7578575134277346, + "epoch": 9.446067898581864, + "grad_norm": 1.359375, + "learning_rate": 5.396297147971116e-05, + "loss": 4.8967, + "mean_token_accuracy": 0.23771874606609344, + "num_tokens": 19986359.0, + "step": 10995 + }, + { + "entropy": 5.716905927658081, + "epoch": 9.45036527718092, + "grad_norm": 1.28125, + "learning_rate": 5.390108552157935e-05, + "loss": 4.8097, + "mean_token_accuracy": 0.24744485914707184, + "num_tokens": 19994618.0, + "step": 11000 + }, + { + "epoch": 9.45036527718092, + "eval_entropy": 5.561021716208072, + "eval_loss": 5.893560409545898, + "eval_mean_token_accuracy": 0.18303356171996743, + "eval_num_tokens": 19994618.0, + "eval_runtime": 2.0478, + "eval_samples_per_second": 1733.059, + "eval_steps_per_second": 216.816, + "step": 11000 + }, + { + "entropy": 5.751536750793457, + "epoch": 9.454662655779973, + "grad_norm": 1.3046875, + "learning_rate": 5.383968235510427e-05, + "loss": 4.9125, + "mean_token_accuracy": 0.24575117975473404, + "num_tokens": 20004050.0, + "step": 11005 + }, + { + "entropy": 5.719616365432739, + "epoch": 9.458960034379029, + "grad_norm": 1.2890625, + "learning_rate": 5.377876211436592e-05, + "loss": 4.8358, + "mean_token_accuracy": 0.24225348532199859, + "num_tokens": 20013480.0, + "step": 11010 + }, + { + "entropy": 5.794860315322876, + "epoch": 9.463257412978084, + "grad_norm": 1.4453125, + "learning_rate": 5.371832493238973e-05, + "loss": 4.9287, + "mean_token_accuracy": 0.2346111848950386, + "num_tokens": 20022133.0, + "step": 11015 + }, + { + "entropy": 5.674678897857666, + "epoch": 9.467554791577138, + "grad_norm": 1.375, + "learning_rate": 5.365837094114639e-05, + "loss": 4.808, + "mean_token_accuracy": 0.25014188438653945, + "num_tokens": 20031462.0, + "step": 11020 + }, + { + "entropy": 5.768085956573486, + "epoch": 9.471852170176193, + "grad_norm": 1.390625, + "learning_rate": 5.3598900271551396e-05, + "loss": 4.9489, + "mean_token_accuracy": 0.2319101795554161, + "num_tokens": 20042055.0, + "step": 11025 + }, + { + "entropy": 5.718179845809937, + "epoch": 9.476149548775247, + "grad_norm": 1.15625, + "learning_rate": 5.353991305346499e-05, + "loss": 4.8555, + "mean_token_accuracy": 0.2395426645874977, + "num_tokens": 20051379.0, + "step": 11030 + }, + { + "entropy": 5.6791009426116945, + "epoch": 9.480446927374302, + "grad_norm": 1.3359375, + "learning_rate": 5.348140941569165e-05, + "loss": 4.7847, + "mean_token_accuracy": 0.2500495076179504, + "num_tokens": 20060289.0, + "step": 11035 + }, + { + "entropy": 5.699596500396728, + "epoch": 9.484744305973356, + "grad_norm": 1.3203125, + "learning_rate": 5.342338948597989e-05, + "loss": 4.8269, + "mean_token_accuracy": 0.24260480403900148, + "num_tokens": 20070133.0, + "step": 11040 + }, + { + "entropy": 5.75848708152771, + "epoch": 9.489041684572411, + "grad_norm": 1.375, + "learning_rate": 5.336585339102209e-05, + "loss": 4.8636, + "mean_token_accuracy": 0.24093058556318284, + "num_tokens": 20078384.0, + "step": 11045 + }, + { + "entropy": 5.649259424209594, + "epoch": 9.493339063171465, + "grad_norm": 1.34375, + "learning_rate": 5.33088012564541e-05, + "loss": 4.7802, + "mean_token_accuracy": 0.2498975083231926, + "num_tokens": 20087116.0, + "step": 11050 + }, + { + "entropy": 5.608646535873413, + "epoch": 9.49763644177052, + "grad_norm": 1.34375, + "learning_rate": 5.3252233206854955e-05, + "loss": 4.7779, + "mean_token_accuracy": 0.24721285551786423, + "num_tokens": 20096918.0, + "step": 11055 + }, + { + "entropy": 5.720380878448486, + "epoch": 9.501933820369574, + "grad_norm": 1.3203125, + "learning_rate": 5.3196149365746656e-05, + "loss": 4.9427, + "mean_token_accuracy": 0.23233859241008759, + "num_tokens": 20107602.0, + "step": 11060 + }, + { + "entropy": 5.647018575668335, + "epoch": 9.50623119896863, + "grad_norm": 1.171875, + "learning_rate": 5.31405498555939e-05, + "loss": 4.8205, + "mean_token_accuracy": 0.24482105374336244, + "num_tokens": 20117732.0, + "step": 11065 + }, + { + "entropy": 5.787069416046142, + "epoch": 9.510528577567683, + "grad_norm": 1.21875, + "learning_rate": 5.308543479780384e-05, + "loss": 4.9499, + "mean_token_accuracy": 0.22889099568128585, + "num_tokens": 20127765.0, + "step": 11070 + }, + { + "entropy": 5.748648309707642, + "epoch": 9.514825956166739, + "grad_norm": 1.375, + "learning_rate": 5.303080431272567e-05, + "loss": 4.9253, + "mean_token_accuracy": 0.23980981707572938, + "num_tokens": 20137135.0, + "step": 11075 + }, + { + "entropy": 5.704532814025879, + "epoch": 9.519123334765792, + "grad_norm": 1.3984375, + "learning_rate": 5.297665851965055e-05, + "loss": 4.8654, + "mean_token_accuracy": 0.24282841831445695, + "num_tokens": 20146156.0, + "step": 11080 + }, + { + "entropy": 5.735879802703858, + "epoch": 9.523420713364848, + "grad_norm": 1.4921875, + "learning_rate": 5.292299753681129e-05, + "loss": 4.8687, + "mean_token_accuracy": 0.2410810708999634, + "num_tokens": 20154433.0, + "step": 11085 + }, + { + "entropy": 5.735851383209228, + "epoch": 9.527718091963902, + "grad_norm": 1.28125, + "learning_rate": 5.286982148138196e-05, + "loss": 4.852, + "mean_token_accuracy": 0.24170392155647277, + "num_tokens": 20164209.0, + "step": 11090 + }, + { + "entropy": 5.724815750122071, + "epoch": 9.532015470562957, + "grad_norm": 1.3515625, + "learning_rate": 5.281713046947787e-05, + "loss": 4.8645, + "mean_token_accuracy": 0.2355036363005638, + "num_tokens": 20173116.0, + "step": 11095 + }, + { + "entropy": 5.773639297485351, + "epoch": 9.53631284916201, + "grad_norm": 1.40625, + "learning_rate": 5.2764924616155116e-05, + "loss": 4.9453, + "mean_token_accuracy": 0.23105342984199523, + "num_tokens": 20182933.0, + "step": 11100 + }, + { + "entropy": 5.726321268081665, + "epoch": 9.540610227761066, + "grad_norm": 1.5078125, + "learning_rate": 5.271320403541038e-05, + "loss": 4.8288, + "mean_token_accuracy": 0.24428213983774186, + "num_tokens": 20191899.0, + "step": 11105 + }, + { + "entropy": 5.751812839508057, + "epoch": 9.54490760636012, + "grad_norm": 1.3671875, + "learning_rate": 5.266196884018081e-05, + "loss": 4.8788, + "mean_token_accuracy": 0.24230959862470627, + "num_tokens": 20201108.0, + "step": 11110 + }, + { + "entropy": 5.69306116104126, + "epoch": 9.549204984959175, + "grad_norm": 1.3671875, + "learning_rate": 5.2611219142343494e-05, + "loss": 4.854, + "mean_token_accuracy": 0.24209704995155334, + "num_tokens": 20209137.0, + "step": 11115 + }, + { + "entropy": 5.660806035995483, + "epoch": 9.553502363558229, + "grad_norm": 1.25, + "learning_rate": 5.2560955052715574e-05, + "loss": 4.7671, + "mean_token_accuracy": 0.24614596515893936, + "num_tokens": 20217879.0, + "step": 11120 + }, + { + "entropy": 5.724523305892944, + "epoch": 9.557799742157284, + "grad_norm": 1.3515625, + "learning_rate": 5.2511176681053704e-05, + "loss": 4.8475, + "mean_token_accuracy": 0.24516242742538452, + "num_tokens": 20226783.0, + "step": 11125 + }, + { + "entropy": 5.725910329818726, + "epoch": 9.562097120756338, + "grad_norm": 1.375, + "learning_rate": 5.246188413605393e-05, + "loss": 4.8643, + "mean_token_accuracy": 0.24164182394742967, + "num_tokens": 20235008.0, + "step": 11130 + }, + { + "entropy": 5.716705322265625, + "epoch": 9.566394499355393, + "grad_norm": 1.359375, + "learning_rate": 5.241307752535149e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.25252772122621536, + "num_tokens": 20243157.0, + "step": 11135 + }, + { + "entropy": 5.709731864929199, + "epoch": 9.570691877954447, + "grad_norm": 1.2890625, + "learning_rate": 5.236475695552052e-05, + "loss": 4.8463, + "mean_token_accuracy": 0.24593894481658934, + "num_tokens": 20251548.0, + "step": 11140 + }, + { + "entropy": 5.611426973342896, + "epoch": 9.574989256553502, + "grad_norm": 1.4375, + "learning_rate": 5.2316922532073796e-05, + "loss": 4.7391, + "mean_token_accuracy": 0.25582781732082366, + "num_tokens": 20260954.0, + "step": 11145 + }, + { + "entropy": 5.783295440673828, + "epoch": 9.579286635152556, + "grad_norm": 1.3359375, + "learning_rate": 5.226957435946265e-05, + "loss": 4.9657, + "mean_token_accuracy": 0.2272557646036148, + "num_tokens": 20269976.0, + "step": 11150 + }, + { + "entropy": 5.731646537780762, + "epoch": 9.583584013751612, + "grad_norm": 1.3203125, + "learning_rate": 5.2222712541076464e-05, + "loss": 4.9138, + "mean_token_accuracy": 0.2371578335762024, + "num_tokens": 20279824.0, + "step": 11155 + }, + { + "entropy": 5.7411322593688965, + "epoch": 9.587881392350667, + "grad_norm": 1.34375, + "learning_rate": 5.217633717924282e-05, + "loss": 4.8572, + "mean_token_accuracy": 0.2577525168657303, + "num_tokens": 20289284.0, + "step": 11160 + }, + { + "entropy": 5.7514575004577635, + "epoch": 9.59217877094972, + "grad_norm": 1.1796875, + "learning_rate": 5.213044837522689e-05, + "loss": 4.8106, + "mean_token_accuracy": 0.24952750355005265, + "num_tokens": 20297905.0, + "step": 11165 + }, + { + "entropy": 5.672228050231934, + "epoch": 9.596476149548776, + "grad_norm": 1.3828125, + "learning_rate": 5.208504622923154e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24929569363594056, + "num_tokens": 20307219.0, + "step": 11170 + }, + { + "entropy": 5.722142553329467, + "epoch": 9.60077352814783, + "grad_norm": 1.3984375, + "learning_rate": 5.204013084039687e-05, + "loss": 4.8724, + "mean_token_accuracy": 0.2437526673078537, + "num_tokens": 20316369.0, + "step": 11175 + }, + { + "entropy": 5.6969505786895756, + "epoch": 9.605070906746885, + "grad_norm": 1.4375, + "learning_rate": 5.199570230680017e-05, + "loss": 4.8473, + "mean_token_accuracy": 0.24211715310811996, + "num_tokens": 20325764.0, + "step": 11180 + }, + { + "entropy": 5.803487777709961, + "epoch": 9.609368285345939, + "grad_norm": 1.328125, + "learning_rate": 5.19517607254556e-05, + "loss": 4.9431, + "mean_token_accuracy": 0.23417452871799468, + "num_tokens": 20334671.0, + "step": 11185 + }, + { + "entropy": 5.7173380851745605, + "epoch": 9.613665663944994, + "grad_norm": 1.34375, + "learning_rate": 5.190830619231397e-05, + "loss": 4.8684, + "mean_token_accuracy": 0.24233201891183853, + "num_tokens": 20343585.0, + "step": 11190 + }, + { + "entropy": 5.701148939132691, + "epoch": 9.617963042544048, + "grad_norm": 1.328125, + "learning_rate": 5.186533880226263e-05, + "loss": 4.8113, + "mean_token_accuracy": 0.2474406123161316, + "num_tokens": 20352569.0, + "step": 11195 + }, + { + "entropy": 5.730457019805908, + "epoch": 9.622260421143103, + "grad_norm": 1.4453125, + "learning_rate": 5.1822858649125197e-05, + "loss": 4.8833, + "mean_token_accuracy": 0.23313068896532058, + "num_tokens": 20361479.0, + "step": 11200 + }, + { + "entropy": 5.774404764175415, + "epoch": 9.626557799742157, + "grad_norm": 1.453125, + "learning_rate": 5.178086582566134e-05, + "loss": 4.9157, + "mean_token_accuracy": 0.2357160970568657, + "num_tokens": 20370286.0, + "step": 11205 + }, + { + "entropy": 5.705867576599121, + "epoch": 9.630855178341212, + "grad_norm": 1.3125, + "learning_rate": 5.1739360423566596e-05, + "loss": 4.8895, + "mean_token_accuracy": 0.23882053792476654, + "num_tokens": 20379253.0, + "step": 11210 + }, + { + "entropy": 5.724793434143066, + "epoch": 9.635152556940266, + "grad_norm": 1.390625, + "learning_rate": 5.16983425334722e-05, + "loss": 4.8406, + "mean_token_accuracy": 0.24639717787504195, + "num_tokens": 20387796.0, + "step": 11215 + }, + { + "entropy": 5.711037969589233, + "epoch": 9.639449935539322, + "grad_norm": 1.3515625, + "learning_rate": 5.1657812244944796e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.24511823803186417, + "num_tokens": 20396209.0, + "step": 11220 + }, + { + "entropy": 5.801721382141113, + "epoch": 9.643747314138375, + "grad_norm": 1.40625, + "learning_rate": 5.1617769646486344e-05, + "loss": 4.9309, + "mean_token_accuracy": 0.24493779987096786, + "num_tokens": 20405102.0, + "step": 11225 + }, + { + "entropy": 5.7793690204620365, + "epoch": 9.64804469273743, + "grad_norm": 1.234375, + "learning_rate": 5.157821482553389e-05, + "loss": 4.984, + "mean_token_accuracy": 0.22937669306993486, + "num_tokens": 20415126.0, + "step": 11230 + }, + { + "entropy": 5.72899432182312, + "epoch": 9.652342071336484, + "grad_norm": 1.375, + "learning_rate": 5.153914786845932e-05, + "loss": 4.9059, + "mean_token_accuracy": 0.235084168612957, + "num_tokens": 20424166.0, + "step": 11235 + }, + { + "entropy": 5.665798377990723, + "epoch": 9.65663944993554, + "grad_norm": 1.53125, + "learning_rate": 5.1500568860569285e-05, + "loss": 4.7348, + "mean_token_accuracy": 0.26206835061311723, + "num_tokens": 20431984.0, + "step": 11240 + }, + { + "entropy": 5.659931087493897, + "epoch": 9.660936828534593, + "grad_norm": 1.4296875, + "learning_rate": 5.1462477886104904e-05, + "loss": 4.7933, + "mean_token_accuracy": 0.24927198141813278, + "num_tokens": 20440923.0, + "step": 11245 + }, + { + "entropy": 5.728438901901245, + "epoch": 9.665234207133649, + "grad_norm": 1.4453125, + "learning_rate": 5.1424875028241625e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.2419541597366333, + "num_tokens": 20449525.0, + "step": 11250 + }, + { + "entropy": 5.731784915924072, + "epoch": 9.669531585732702, + "grad_norm": 1.203125, + "learning_rate": 5.138776036908911e-05, + "loss": 4.883, + "mean_token_accuracy": 0.24157910495996476, + "num_tokens": 20459193.0, + "step": 11255 + }, + { + "entropy": 5.709342765808105, + "epoch": 9.673828964331758, + "grad_norm": 1.5234375, + "learning_rate": 5.135113398969091e-05, + "loss": 4.8233, + "mean_token_accuracy": 0.2402026414871216, + "num_tokens": 20467564.0, + "step": 11260 + }, + { + "entropy": 5.78696117401123, + "epoch": 9.678126342930812, + "grad_norm": 1.328125, + "learning_rate": 5.131499597002437e-05, + "loss": 4.9665, + "mean_token_accuracy": 0.234141606092453, + "num_tokens": 20476573.0, + "step": 11265 + }, + { + "entropy": 5.719672203063965, + "epoch": 9.682423721529867, + "grad_norm": 1.3515625, + "learning_rate": 5.12793463890005e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.23852619677782058, + "num_tokens": 20486788.0, + "step": 11270 + }, + { + "entropy": 5.757355690002441, + "epoch": 9.68672110012892, + "grad_norm": 1.21875, + "learning_rate": 5.124418532446376e-05, + "loss": 4.9113, + "mean_token_accuracy": 0.23218149691820145, + "num_tokens": 20495982.0, + "step": 11275 + }, + { + "entropy": 5.786857461929321, + "epoch": 9.691018478727976, + "grad_norm": 1.2890625, + "learning_rate": 5.120951285319187e-05, + "loss": 4.9401, + "mean_token_accuracy": 0.23337600380182266, + "num_tokens": 20504678.0, + "step": 11280 + }, + { + "entropy": 5.71163010597229, + "epoch": 9.69531585732703, + "grad_norm": 1.4140625, + "learning_rate": 5.1175329050895584e-05, + "loss": 4.7812, + "mean_token_accuracy": 0.24595889896154405, + "num_tokens": 20513362.0, + "step": 11285 + }, + { + "entropy": 5.695388889312744, + "epoch": 9.699613235926085, + "grad_norm": 1.3046875, + "learning_rate": 5.114163399221871e-05, + "loss": 4.9018, + "mean_token_accuracy": 0.24140434116125106, + "num_tokens": 20522280.0, + "step": 11290 + }, + { + "entropy": 5.683009386062622, + "epoch": 9.703910614525139, + "grad_norm": 1.46875, + "learning_rate": 5.110842775073778e-05, + "loss": 4.8258, + "mean_token_accuracy": 0.24388017654418945, + "num_tokens": 20531175.0, + "step": 11295 + }, + { + "entropy": 5.700381183624268, + "epoch": 9.708207993124194, + "grad_norm": 1.2734375, + "learning_rate": 5.107571039896196e-05, + "loss": 4.8818, + "mean_token_accuracy": 0.24136573374271392, + "num_tokens": 20540592.0, + "step": 11300 + }, + { + "entropy": 5.795329952239991, + "epoch": 9.71250537172325, + "grad_norm": 1.46875, + "learning_rate": 5.1043482008332864e-05, + "loss": 4.9774, + "mean_token_accuracy": 0.22769286781549453, + "num_tokens": 20549963.0, + "step": 11305 + }, + { + "entropy": 5.708670043945313, + "epoch": 9.716802750322303, + "grad_norm": 1.2421875, + "learning_rate": 5.1011742649224394e-05, + "loss": 4.8863, + "mean_token_accuracy": 0.24391805678606032, + "num_tokens": 20558928.0, + "step": 11310 + }, + { + "entropy": 5.684968519210815, + "epoch": 9.721100128921359, + "grad_norm": 1.5, + "learning_rate": 5.098049239094267e-05, + "loss": 4.7638, + "mean_token_accuracy": 0.25189766734838487, + "num_tokens": 20566483.0, + "step": 11315 + }, + { + "entropy": 5.751645565032959, + "epoch": 9.725397507520412, + "grad_norm": 1.390625, + "learning_rate": 5.094973130172573e-05, + "loss": 4.8502, + "mean_token_accuracy": 0.24031373858451843, + "num_tokens": 20575349.0, + "step": 11320 + }, + { + "entropy": 5.764202070236206, + "epoch": 9.729694886119468, + "grad_norm": 1.375, + "learning_rate": 5.09194594487435e-05, + "loss": 4.888, + "mean_token_accuracy": 0.23896111100912093, + "num_tokens": 20584235.0, + "step": 11325 + }, + { + "entropy": 5.65966477394104, + "epoch": 9.733992264718522, + "grad_norm": 1.40625, + "learning_rate": 5.088967689809763e-05, + "loss": 4.7997, + "mean_token_accuracy": 0.2483944997191429, + "num_tokens": 20593705.0, + "step": 11330 + }, + { + "entropy": 5.726091384887695, + "epoch": 9.738289643317577, + "grad_norm": 1.140625, + "learning_rate": 5.086038371482128e-05, + "loss": 4.9113, + "mean_token_accuracy": 0.24341873675584794, + "num_tokens": 20603886.0, + "step": 11335 + }, + { + "entropy": 5.5950987339019775, + "epoch": 9.74258702191663, + "grad_norm": 1.3046875, + "learning_rate": 5.0831579962879074e-05, + "loss": 4.7436, + "mean_token_accuracy": 0.26151440143585203, + "num_tokens": 20613181.0, + "step": 11340 + }, + { + "entropy": 5.748124647140503, + "epoch": 9.746884400515686, + "grad_norm": 1.34375, + "learning_rate": 5.080326570516686e-05, + "loss": 4.8578, + "mean_token_accuracy": 0.24287873059511184, + "num_tokens": 20620938.0, + "step": 11345 + }, + { + "entropy": 5.775603008270264, + "epoch": 9.75118177911474, + "grad_norm": 1.2734375, + "learning_rate": 5.077544100351172e-05, + "loss": 4.955, + "mean_token_accuracy": 0.23114031553268433, + "num_tokens": 20630992.0, + "step": 11350 + }, + { + "entropy": 5.784262037277221, + "epoch": 9.755479157713795, + "grad_norm": 1.40625, + "learning_rate": 5.0748105918671616e-05, + "loss": 4.9767, + "mean_token_accuracy": 0.23523692786693573, + "num_tokens": 20640543.0, + "step": 11355 + }, + { + "entropy": 5.749115753173828, + "epoch": 9.759776536312849, + "grad_norm": 1.2890625, + "learning_rate": 5.072126051033551e-05, + "loss": 4.88, + "mean_token_accuracy": 0.23079000860452653, + "num_tokens": 20649814.0, + "step": 11360 + }, + { + "entropy": 5.744604825973511, + "epoch": 9.764073914911904, + "grad_norm": 1.3046875, + "learning_rate": 5.069490483712298e-05, + "loss": 4.8877, + "mean_token_accuracy": 0.24896368533372878, + "num_tokens": 20658215.0, + "step": 11365 + }, + { + "entropy": 5.736106920242309, + "epoch": 9.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 5.066903895658433e-05, + "loss": 4.8536, + "mean_token_accuracy": 0.24528583735227585, + "num_tokens": 20667412.0, + "step": 11370 + }, + { + "entropy": 5.701273393630982, + "epoch": 9.772668672110013, + "grad_norm": 1.40625, + "learning_rate": 5.064366292520028e-05, + "loss": 4.8855, + "mean_token_accuracy": 0.24092838913202286, + "num_tokens": 20676366.0, + "step": 11375 + }, + { + "entropy": 5.788467454910278, + "epoch": 9.776966050709067, + "grad_norm": 1.1953125, + "learning_rate": 5.061877679838192e-05, + "loss": 4.9789, + "mean_token_accuracy": 0.22519542872905732, + "num_tokens": 20686872.0, + "step": 11380 + }, + { + "entropy": 5.737813997268677, + "epoch": 9.781263429308122, + "grad_norm": 1.3984375, + "learning_rate": 5.059438063047066e-05, + "loss": 4.8193, + "mean_token_accuracy": 0.24957498162984848, + "num_tokens": 20695162.0, + "step": 11385 + }, + { + "entropy": 5.724996185302734, + "epoch": 9.785560807907176, + "grad_norm": 1.2890625, + "learning_rate": 5.057047447473796e-05, + "loss": 4.8617, + "mean_token_accuracy": 0.2426105782389641, + "num_tokens": 20703897.0, + "step": 11390 + }, + { + "entropy": 5.687663936614991, + "epoch": 9.789858186506232, + "grad_norm": 1.25, + "learning_rate": 5.054705838338529e-05, + "loss": 4.8257, + "mean_token_accuracy": 0.2476524829864502, + "num_tokens": 20712115.0, + "step": 11395 + }, + { + "entropy": 5.6803947448730465, + "epoch": 9.794155565105285, + "grad_norm": 1.28125, + "learning_rate": 5.052413240754404e-05, + "loss": 4.7912, + "mean_token_accuracy": 0.24645674079656602, + "num_tokens": 20721073.0, + "step": 11400 + }, + { + "entropy": 5.723237371444702, + "epoch": 9.79845294370434, + "grad_norm": 1.1796875, + "learning_rate": 5.0501696597275376e-05, + "loss": 4.8563, + "mean_token_accuracy": 0.24140281826257706, + "num_tokens": 20731370.0, + "step": 11405 + }, + { + "entropy": 5.745257997512818, + "epoch": 9.802750322303394, + "grad_norm": 1.3671875, + "learning_rate": 5.047975100157018e-05, + "loss": 4.9027, + "mean_token_accuracy": 0.2401305392384529, + "num_tokens": 20740744.0, + "step": 11410 + }, + { + "entropy": 5.727187061309815, + "epoch": 9.80704770090245, + "grad_norm": 1.2734375, + "learning_rate": 5.045829566834879e-05, + "loss": 4.8634, + "mean_token_accuracy": 0.2440107509493828, + "num_tokens": 20749838.0, + "step": 11415 + }, + { + "entropy": 5.711826944351197, + "epoch": 9.811345079501503, + "grad_norm": 1.21875, + "learning_rate": 5.043733064446113e-05, + "loss": 4.8006, + "mean_token_accuracy": 0.24765003770589827, + "num_tokens": 20759689.0, + "step": 11420 + }, + { + "entropy": 5.709393310546875, + "epoch": 9.815642458100559, + "grad_norm": 1.421875, + "learning_rate": 5.041685597568641e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24392541050910949, + "num_tokens": 20769234.0, + "step": 11425 + }, + { + "entropy": 5.69757490158081, + "epoch": 9.819939836699612, + "grad_norm": 1.3203125, + "learning_rate": 5.039687170673315e-05, + "loss": 4.9075, + "mean_token_accuracy": 0.2447763815522194, + "num_tokens": 20778794.0, + "step": 11430 + }, + { + "entropy": 5.717040491104126, + "epoch": 9.824237215298668, + "grad_norm": 1.2734375, + "learning_rate": 5.037737788123895e-05, + "loss": 4.8499, + "mean_token_accuracy": 0.24264205247163773, + "num_tokens": 20788327.0, + "step": 11435 + }, + { + "entropy": 5.753022718429565, + "epoch": 9.828534593897722, + "grad_norm": 1.265625, + "learning_rate": 5.03583745417706e-05, + "loss": 4.9045, + "mean_token_accuracy": 0.23663776665925979, + "num_tokens": 20797161.0, + "step": 11440 + }, + { + "entropy": 5.795938730239868, + "epoch": 9.832831972496777, + "grad_norm": 1.2734375, + "learning_rate": 5.033986172982375e-05, + "loss": 4.9604, + "mean_token_accuracy": 0.236555577814579, + "num_tokens": 20806264.0, + "step": 11445 + }, + { + "entropy": 5.737242841720581, + "epoch": 9.837129351095832, + "grad_norm": 1.3203125, + "learning_rate": 5.0321839485823014e-05, + "loss": 4.906, + "mean_token_accuracy": 0.22974789142608643, + "num_tokens": 20815569.0, + "step": 11450 + }, + { + "entropy": 5.778546380996704, + "epoch": 9.841426729694886, + "grad_norm": 1.375, + "learning_rate": 5.030430784912177e-05, + "loss": 4.9837, + "mean_token_accuracy": 0.23175105601549148, + "num_tokens": 20825234.0, + "step": 11455 + }, + { + "entropy": 5.661735200881958, + "epoch": 9.845724108293942, + "grad_norm": 1.375, + "learning_rate": 5.0287266858002054e-05, + "loss": 4.8381, + "mean_token_accuracy": 0.2472504422068596, + "num_tokens": 20834601.0, + "step": 11460 + }, + { + "entropy": 5.75831446647644, + "epoch": 9.850021486892995, + "grad_norm": 1.1640625, + "learning_rate": 5.027071654967465e-05, + "loss": 4.8487, + "mean_token_accuracy": 0.24770977795124055, + "num_tokens": 20843686.0, + "step": 11465 + }, + { + "entropy": 5.7528746128082275, + "epoch": 9.85431886549205, + "grad_norm": 1.3203125, + "learning_rate": 5.025465696027875e-05, + "loss": 4.8806, + "mean_token_accuracy": 0.2449487879872322, + "num_tokens": 20852009.0, + "step": 11470 + }, + { + "entropy": 5.733751058578491, + "epoch": 9.858616244091104, + "grad_norm": 1.375, + "learning_rate": 5.023908812488211e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24153771251440048, + "num_tokens": 20861241.0, + "step": 11475 + }, + { + "entropy": 5.742742109298706, + "epoch": 9.86291362269016, + "grad_norm": 1.2109375, + "learning_rate": 5.022401007748087e-05, + "loss": 4.8754, + "mean_token_accuracy": 0.23860252499580384, + "num_tokens": 20869774.0, + "step": 11480 + }, + { + "entropy": 5.717617797851562, + "epoch": 9.867211001289213, + "grad_norm": 1.3984375, + "learning_rate": 5.0209422850999414e-05, + "loss": 4.9157, + "mean_token_accuracy": 0.23705103248357773, + "num_tokens": 20878844.0, + "step": 11485 + }, + { + "entropy": 5.723273706436157, + "epoch": 9.871508379888269, + "grad_norm": 1.296875, + "learning_rate": 5.019532647729046e-05, + "loss": 4.8968, + "mean_token_accuracy": 0.23562048077583314, + "num_tokens": 20888054.0, + "step": 11490 + }, + { + "entropy": 5.744698572158813, + "epoch": 9.875805758487322, + "grad_norm": 1.1640625, + "learning_rate": 5.0181720987134815e-05, + "loss": 4.8726, + "mean_token_accuracy": 0.24331187903881074, + "num_tokens": 20897752.0, + "step": 11495 + }, + { + "entropy": 5.623719358444214, + "epoch": 9.880103137086378, + "grad_norm": 1.453125, + "learning_rate": 5.016860641024143e-05, + "loss": 4.7521, + "mean_token_accuracy": 0.25455262660980227, + "num_tokens": 20906186.0, + "step": 11500 + }, + { + "epoch": 9.880103137086378, + "eval_entropy": 5.549299109089482, + "eval_loss": 5.895005702972412, + "eval_mean_token_accuracy": 0.18285801942955265, + "eval_num_tokens": 20906186.0, + "eval_runtime": 2.0641, + "eval_samples_per_second": 1719.433, + "eval_steps_per_second": 215.111, + "step": 11500 + }, + { + "entropy": 5.754516887664795, + "epoch": 9.884400515685432, + "grad_norm": 1.421875, + "learning_rate": 5.01559827752473e-05, + "loss": 4.9002, + "mean_token_accuracy": 0.239798104763031, + "num_tokens": 20915172.0, + "step": 11505 + }, + { + "entropy": 5.693788719177246, + "epoch": 9.888697894284487, + "grad_norm": 1.359375, + "learning_rate": 5.0143850109717434e-05, + "loss": 4.818, + "mean_token_accuracy": 0.24438982605934143, + "num_tokens": 20923886.0, + "step": 11510 + }, + { + "entropy": 5.683674478530884, + "epoch": 9.89299527288354, + "grad_norm": 1.359375, + "learning_rate": 5.013220844014469e-05, + "loss": 4.7606, + "mean_token_accuracy": 0.24807518422603608, + "num_tokens": 20932216.0, + "step": 11515 + }, + { + "entropy": 5.660628795623779, + "epoch": 9.897292651482596, + "grad_norm": 1.2265625, + "learning_rate": 5.012105779194985e-05, + "loss": 4.8064, + "mean_token_accuracy": 0.24784167408943175, + "num_tokens": 20941389.0, + "step": 11520 + }, + { + "entropy": 5.768948888778686, + "epoch": 9.90159003008165, + "grad_norm": 1.3125, + "learning_rate": 5.011039818948144e-05, + "loss": 4.9697, + "mean_token_accuracy": 0.23332553505897521, + "num_tokens": 20950813.0, + "step": 11525 + }, + { + "entropy": 5.732179594039917, + "epoch": 9.905887408680705, + "grad_norm": 1.3046875, + "learning_rate": 5.010022965601579e-05, + "loss": 4.8595, + "mean_token_accuracy": 0.23950265198946, + "num_tokens": 20959298.0, + "step": 11530 + }, + { + "entropy": 5.679294586181641, + "epoch": 9.910184787279759, + "grad_norm": 1.4921875, + "learning_rate": 5.009055221375689e-05, + "loss": 4.8771, + "mean_token_accuracy": 0.23808420896530152, + "num_tokens": 20968400.0, + "step": 11535 + }, + { + "entropy": 5.6777088165283205, + "epoch": 9.914482165878814, + "grad_norm": 1.3984375, + "learning_rate": 5.0081365883836436e-05, + "loss": 4.806, + "mean_token_accuracy": 0.24755516052246093, + "num_tokens": 20977247.0, + "step": 11540 + }, + { + "entropy": 5.748156118392944, + "epoch": 9.918779544477868, + "grad_norm": 1.4765625, + "learning_rate": 5.0072670686313715e-05, + "loss": 4.8607, + "mean_token_accuracy": 0.24210937619209288, + "num_tokens": 20985363.0, + "step": 11545 + }, + { + "entropy": 5.75082311630249, + "epoch": 9.923076923076923, + "grad_norm": 1.3515625, + "learning_rate": 5.0064466640175496e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23332479149103164, + "num_tokens": 20994728.0, + "step": 11550 + }, + { + "entropy": 5.712181806564331, + "epoch": 9.927374301675977, + "grad_norm": 1.2734375, + "learning_rate": 5.0056753763336215e-05, + "loss": 4.8005, + "mean_token_accuracy": 0.24055231660604476, + "num_tokens": 21003801.0, + "step": 11555 + }, + { + "entropy": 5.686912679672242, + "epoch": 9.931671680275032, + "grad_norm": 1.4140625, + "learning_rate": 5.0049532072637646e-05, + "loss": 4.7631, + "mean_token_accuracy": 0.24973468035459517, + "num_tokens": 21013245.0, + "step": 11560 + }, + { + "entropy": 5.652690267562866, + "epoch": 9.935969058874086, + "grad_norm": 1.390625, + "learning_rate": 5.004280158384913e-05, + "loss": 4.7692, + "mean_token_accuracy": 0.2493552714586258, + "num_tokens": 21021376.0, + "step": 11565 + }, + { + "entropy": 5.767275667190551, + "epoch": 9.940266437473142, + "grad_norm": 1.265625, + "learning_rate": 5.0036562311667315e-05, + "loss": 4.8999, + "mean_token_accuracy": 0.2339586064219475, + "num_tokens": 21030538.0, + "step": 11570 + }, + { + "entropy": 5.778787136077881, + "epoch": 9.944563816072195, + "grad_norm": 1.203125, + "learning_rate": 5.0030814269716304e-05, + "loss": 4.8979, + "mean_token_accuracy": 0.23519586473703386, + "num_tokens": 21040274.0, + "step": 11575 + }, + { + "entropy": 5.731865167617798, + "epoch": 9.94886119467125, + "grad_norm": 1.359375, + "learning_rate": 5.0025557470547544e-05, + "loss": 4.8948, + "mean_token_accuracy": 0.23331101536750792, + "num_tokens": 21049584.0, + "step": 11580 + }, + { + "entropy": 5.755065155029297, + "epoch": 9.953158573270304, + "grad_norm": 1.3203125, + "learning_rate": 5.002079192563973e-05, + "loss": 4.9076, + "mean_token_accuracy": 0.23586320728063584, + "num_tokens": 21058258.0, + "step": 11585 + }, + { + "entropy": 5.7110316276550295, + "epoch": 9.95745595186936, + "grad_norm": 1.3046875, + "learning_rate": 5.0016517645398954e-05, + "loss": 4.8445, + "mean_token_accuracy": 0.24807438105344773, + "num_tokens": 21066897.0, + "step": 11590 + }, + { + "entropy": 5.731045818328857, + "epoch": 9.961753330468415, + "grad_norm": 1.2890625, + "learning_rate": 5.0012734639158515e-05, + "loss": 4.8478, + "mean_token_accuracy": 0.24167205542325973, + "num_tokens": 21075939.0, + "step": 11595 + }, + { + "entropy": 5.762553882598877, + "epoch": 9.966050709067469, + "grad_norm": 1.25, + "learning_rate": 5.0009442915178995e-05, + "loss": 4.8924, + "mean_token_accuracy": 0.23249779194593428, + "num_tokens": 21085073.0, + "step": 11600 + }, + { + "entropy": 5.778364849090576, + "epoch": 9.970348087666524, + "grad_norm": 1.3125, + "learning_rate": 5.000664248064818e-05, + "loss": 4.9711, + "mean_token_accuracy": 0.22699223458766937, + "num_tokens": 21094195.0, + "step": 11605 + }, + { + "entropy": 5.687132263183594, + "epoch": 9.974645466265578, + "grad_norm": 1.1328125, + "learning_rate": 5.000433334168114e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.2497839316725731, + "num_tokens": 21103252.0, + "step": 11610 + }, + { + "entropy": 5.712363004684448, + "epoch": 9.978942844864633, + "grad_norm": 1.3515625, + "learning_rate": 5.000251550332007e-05, + "loss": 4.8655, + "mean_token_accuracy": 0.23834331035614015, + "num_tokens": 21113031.0, + "step": 11615 + }, + { + "entropy": 5.763901662826538, + "epoch": 9.983240223463687, + "grad_norm": 1.25, + "learning_rate": 5.000118896953443e-05, + "loss": 4.9806, + "mean_token_accuracy": 0.22696011364459992, + "num_tokens": 21123268.0, + "step": 11620 + }, + { + "entropy": 5.746629953384399, + "epoch": 9.987537602062742, + "grad_norm": 1.34375, + "learning_rate": 5.000035374322084e-05, + "loss": 4.918, + "mean_token_accuracy": 0.22912317365407944, + "num_tokens": 21131352.0, + "step": 11625 + }, + { + "entropy": 5.752182865142823, + "epoch": 9.991834980661796, + "grad_norm": 1.5, + "learning_rate": 5.000000982620308e-05, + "loss": 4.8461, + "mean_token_accuracy": 0.2437342494726181, + "num_tokens": 21140296.0, + "step": 11630 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 4754071609896960.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-11630/training_args.bin b/checkpoint-11630/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-11630/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-1500/added_tokens.json b/checkpoint-1500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-1500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1500/config.json b/checkpoint-1500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-1500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-1500/generation_config.json b/checkpoint-1500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-1500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-1500/model.safetensors b/checkpoint-1500/model.safetensors new file mode 100644 index 0000000..7492aa5 --- /dev/null +++ b/checkpoint-1500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32c73fa97a23e230bfa31e7cbfbfb1b459e1a4c4ee57fed481c73bfbd332ced2 +size 78179408 diff --git a/checkpoint-1500/rng_state.pth b/checkpoint-1500/rng_state.pth new file mode 100644 index 0000000..962dc5a --- /dev/null +++ b/checkpoint-1500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:905c030bc6e071225bb57d91bdc792eff50465f52b699b63806672b96f2f0302 +size 14645 diff --git a/checkpoint-1500/special_tokens_map.json b/checkpoint-1500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-1500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-1500/spiece.model b/checkpoint-1500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-1500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-1500/tokenizer_config.json b/checkpoint-1500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-1500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1500/trainer_state.json b/checkpoint-1500/trainer_state.json new file mode 100644 index 0000000..a79a191 --- /dev/null +++ b/checkpoint-1500/trainer_state.json @@ -0,0 +1,3067 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.2887838418564677, + "eval_steps": 500, + "global_step": 1500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 613354283642880.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-1500/training_args.bin b/checkpoint-1500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-1500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-2000/added_tokens.json b/checkpoint-2000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-2000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-2000/config.json b/checkpoint-2000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-2000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-2000/generation_config.json b/checkpoint-2000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-2000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-2000/model.safetensors b/checkpoint-2000/model.safetensors new file mode 100644 index 0000000..5462c13 --- /dev/null +++ b/checkpoint-2000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1e898953d85e8360958575ead95209d8e274833da6a2abaa6b68142826d52f04 +size 78179408 diff --git a/checkpoint-2000/rng_state.pth b/checkpoint-2000/rng_state.pth new file mode 100644 index 0000000..16863cc --- /dev/null +++ b/checkpoint-2000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4eecf20162eff697c379d919d84a9480092a65b10234b3f045ed3d42f40f2c1c +size 14645 diff --git a/checkpoint-2000/special_tokens_map.json b/checkpoint-2000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-2000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-2000/spiece.model b/checkpoint-2000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-2000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-2000/tokenizer_config.json b/checkpoint-2000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-2000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2000/trainer_state.json b/checkpoint-2000/trainer_state.json new file mode 100644 index 0000000..2e1cb2d --- /dev/null +++ b/checkpoint-2000/trainer_state.json @@ -0,0 +1,4078 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.7185217017619252, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 820105322803200.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-2000/training_args.bin b/checkpoint-2000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-2000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-2500/added_tokens.json b/checkpoint-2500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-2500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-2500/config.json b/checkpoint-2500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-2500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-2500/generation_config.json b/checkpoint-2500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-2500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-2500/model.safetensors b/checkpoint-2500/model.safetensors new file mode 100644 index 0000000..2d1723f --- /dev/null +++ b/checkpoint-2500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b931afe34e76e39ca366178017289e768e95d938a500f187113631eaf737cc93 +size 78179408 diff --git a/checkpoint-2500/rng_state.pth b/checkpoint-2500/rng_state.pth new file mode 100644 index 0000000..50ac6d7 --- /dev/null +++ b/checkpoint-2500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ea50940afbf0e6b6b21a57c767494477b82e3b9545f16a75c2f2c745410397f +size 14645 diff --git a/checkpoint-2500/special_tokens_map.json b/checkpoint-2500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-2500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-2500/spiece.model b/checkpoint-2500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-2500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-2500/tokenizer_config.json b/checkpoint-2500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-2500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2500/trainer_state.json b/checkpoint-2500/trainer_state.json new file mode 100644 index 0000000..beed999 --- /dev/null +++ b/checkpoint-2500/trainer_state.json @@ -0,0 +1,5089 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.1478298238074776, + "eval_steps": 500, + "global_step": 2500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1024889190266880.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-2500/training_args.bin b/checkpoint-2500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-2500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-3000/added_tokens.json b/checkpoint-3000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-3000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-3000/config.json b/checkpoint-3000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-3000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-3000/generation_config.json b/checkpoint-3000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-3000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-3000/model.safetensors b/checkpoint-3000/model.safetensors new file mode 100644 index 0000000..572f81c --- /dev/null +++ b/checkpoint-3000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c4bb3611fb37db5586f1944e98d28111ee482f5bf7ea252b87638aea3260fa23 +size 78179408 diff --git a/checkpoint-3000/rng_state.pth b/checkpoint-3000/rng_state.pth new file mode 100644 index 0000000..e437d74 --- /dev/null +++ b/checkpoint-3000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d91939316df6135915f1d11ef0b4ed34f661805515193d9577e2e41a713a5eb9 +size 14645 diff --git a/checkpoint-3000/special_tokens_map.json b/checkpoint-3000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-3000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-3000/spiece.model b/checkpoint-3000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-3000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-3000/tokenizer_config.json b/checkpoint-3000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-3000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3000/trainer_state.json b/checkpoint-3000/trainer_state.json new file mode 100644 index 0000000..1720c13 --- /dev/null +++ b/checkpoint-3000/trainer_state.json @@ -0,0 +1,6100 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.5775676837129353, + "eval_steps": 500, + "global_step": 3000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1231484060252160.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-3000/training_args.bin b/checkpoint-3000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-3000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-3500/added_tokens.json b/checkpoint-3500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-3500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-3500/config.json b/checkpoint-3500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-3500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-3500/generation_config.json b/checkpoint-3500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-3500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-3500/model.safetensors b/checkpoint-3500/model.safetensors new file mode 100644 index 0000000..4c1f392 --- /dev/null +++ b/checkpoint-3500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9bc1d110311c3e0ebec5cb3243d597cadb201c267c833fe92aefb8b2dc7ae088 +size 78179408 diff --git a/checkpoint-3500/rng_state.pth b/checkpoint-3500/rng_state.pth new file mode 100644 index 0000000..0c38330 --- /dev/null +++ b/checkpoint-3500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0570e520890fb9a5e8a9644f612efb57b9b0a28b39e9d41dc7a8948618add113 +size 14645 diff --git a/checkpoint-3500/special_tokens_map.json b/checkpoint-3500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-3500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-3500/spiece.model b/checkpoint-3500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-3500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-3500/tokenizer_config.json b/checkpoint-3500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-3500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3500/trainer_state.json b/checkpoint-3500/trainer_state.json new file mode 100644 index 0000000..7f61445 --- /dev/null +++ b/checkpoint-3500/trainer_state.json @@ -0,0 +1,7111 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0068758057584875, + "eval_steps": 500, + "global_step": 3500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1434986114734080.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-3500/training_args.bin b/checkpoint-3500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-3500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-4000/added_tokens.json b/checkpoint-4000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-4000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-4000/config.json b/checkpoint-4000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-4000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-4000/generation_config.json b/checkpoint-4000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-4000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-4000/model.safetensors b/checkpoint-4000/model.safetensors new file mode 100644 index 0000000..f93f3f4 --- /dev/null +++ b/checkpoint-4000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:287bbbf60d419ebcb0a5f840d9daa62700b229711e5ac96b16e2498e2415f8d9 +size 78179408 diff --git a/checkpoint-4000/rng_state.pth b/checkpoint-4000/rng_state.pth new file mode 100644 index 0000000..553537a --- /dev/null +++ b/checkpoint-4000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:827314e3cd5d27a4f19d167d152c03cf746206e7646db3fda85ef3358616c701 +size 14645 diff --git a/checkpoint-4000/special_tokens_map.json b/checkpoint-4000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-4000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-4000/spiece.model b/checkpoint-4000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-4000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-4000/tokenizer_config.json b/checkpoint-4000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-4000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4000/trainer_state.json b/checkpoint-4000/trainer_state.json new file mode 100644 index 0000000..95eb9ba --- /dev/null +++ b/checkpoint-4000/trainer_state.json @@ -0,0 +1,8122 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.4366136656639448, + "eval_steps": 500, + "global_step": 4000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1640861880145920.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-4000/training_args.bin b/checkpoint-4000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-4000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-4500/added_tokens.json b/checkpoint-4500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-4500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-4500/config.json b/checkpoint-4500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-4500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-4500/generation_config.json b/checkpoint-4500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-4500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-4500/model.safetensors b/checkpoint-4500/model.safetensors new file mode 100644 index 0000000..13da235 --- /dev/null +++ b/checkpoint-4500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8f693a7b57adff9540668a8f9d3bfade4809f55f863476b911b83d3c9fcfde4 +size 78179408 diff --git a/checkpoint-4500/rng_state.pth b/checkpoint-4500/rng_state.pth new file mode 100644 index 0000000..3a8e5ea --- /dev/null +++ b/checkpoint-4500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da987f0a6b5d7b21bd650a0e249d768ed9e229b09628ee462b329315b00ce80e +size 14645 diff --git a/checkpoint-4500/special_tokens_map.json b/checkpoint-4500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-4500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-4500/spiece.model b/checkpoint-4500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-4500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-4500/tokenizer_config.json b/checkpoint-4500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-4500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4500/trainer_state.json b/checkpoint-4500/trainer_state.json new file mode 100644 index 0000000..7cc2a0b --- /dev/null +++ b/checkpoint-4500/trainer_state.json @@ -0,0 +1,9133 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.8663515255694025, + "eval_steps": 500, + "global_step": 4500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1841695439247360.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-4500/training_args.bin b/checkpoint-4500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-4500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-500/added_tokens.json b/checkpoint-500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-500/config.json b/checkpoint-500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-500/generation_config.json b/checkpoint-500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-500/model.safetensors b/checkpoint-500/model.safetensors new file mode 100644 index 0000000..e94e5a7 --- /dev/null +++ b/checkpoint-500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf06eaf307b0d3d6d563aac04bab34fda66492394af2492280ecf57440a68b7a +size 78179408 diff --git a/checkpoint-500/rng_state.pth b/checkpoint-500/rng_state.pth new file mode 100644 index 0000000..a674a33 --- /dev/null +++ b/checkpoint-500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ce252145849e1cafd5e4eac8533bb34e37765715951769f41f53a66314b43c1 +size 14645 diff --git a/checkpoint-500/special_tokens_map.json b/checkpoint-500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-500/spiece.model b/checkpoint-500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-500/tokenizer_config.json b/checkpoint-500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-500/trainer_state.json b/checkpoint-500/trainer_state.json new file mode 100644 index 0000000..e19c848 --- /dev/null +++ b/checkpoint-500/trainer_state.json @@ -0,0 +1,1045 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.42973785990545765, + "eval_steps": 500, + "global_step": 500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 204362498211840.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-500/training_args.bin b/checkpoint-500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-5000/added_tokens.json b/checkpoint-5000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-5000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-5000/config.json b/checkpoint-5000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-5000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-5000/generation_config.json b/checkpoint-5000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-5000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-5000/model.safetensors b/checkpoint-5000/model.safetensors new file mode 100644 index 0000000..85a794b --- /dev/null +++ b/checkpoint-5000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8824f68cbe38088978fa7a4c01ba0169d9b5fbf882ee65f2ce712fbebd193add +size 78179408 diff --git a/checkpoint-5000/rng_state.pth b/checkpoint-5000/rng_state.pth new file mode 100644 index 0000000..a1bf7e5 --- /dev/null +++ b/checkpoint-5000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c90f35c62b0f2df7742d3fb9434cca60be3a75b4e108fe480c2bc725f4461bfd +size 14645 diff --git a/checkpoint-5000/special_tokens_map.json b/checkpoint-5000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-5000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-5000/spiece.model b/checkpoint-5000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-5000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-5000/tokenizer_config.json b/checkpoint-5000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-5000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5000/trainer_state.json b/checkpoint-5000/trainer_state.json new file mode 100644 index 0000000..75dc93e --- /dev/null +++ b/checkpoint-5000/trainer_state.json @@ -0,0 +1,10144 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.295659647614955, + "eval_steps": 500, + "global_step": 5000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2048094038476800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-5000/training_args.bin b/checkpoint-5000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-5000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-5500/added_tokens.json b/checkpoint-5500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-5500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-5500/config.json b/checkpoint-5500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-5500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-5500/generation_config.json b/checkpoint-5500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-5500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-5500/model.safetensors b/checkpoint-5500/model.safetensors new file mode 100644 index 0000000..c80415b --- /dev/null +++ b/checkpoint-5500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:160802b9a87654bc74c6365363fe2600708a6790158244acb3efd7910f07d8b8 +size 78179408 diff --git a/checkpoint-5500/rng_state.pth b/checkpoint-5500/rng_state.pth new file mode 100644 index 0000000..bb9b5f6 --- /dev/null +++ b/checkpoint-5500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1697e48f1debba1af057fe642be1c626fa05cd02ca1552307ccd147eb44f92ad +size 14645 diff --git a/checkpoint-5500/special_tokens_map.json b/checkpoint-5500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-5500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-5500/spiece.model b/checkpoint-5500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-5500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-5500/tokenizer_config.json b/checkpoint-5500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-5500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5500/trainer_state.json b/checkpoint-5500/trainer_state.json new file mode 100644 index 0000000..d907d47 --- /dev/null +++ b/checkpoint-5500/trainer_state.json @@ -0,0 +1,11155 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.725397507520412, + "eval_steps": 500, + "global_step": 5500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2253283385886720.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-5500/training_args.bin b/checkpoint-5500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-5500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-6000/added_tokens.json b/checkpoint-6000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-6000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-6000/config.json b/checkpoint-6000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-6000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-6000/generation_config.json b/checkpoint-6000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-6000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-6000/model.safetensors b/checkpoint-6000/model.safetensors new file mode 100644 index 0000000..a1cdf25 --- /dev/null +++ b/checkpoint-6000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2396a142911e44b6fc3c8f723455683066788791add89052ae3bbe11991d1611 +size 78179408 diff --git a/checkpoint-6000/rng_state.pth b/checkpoint-6000/rng_state.pth new file mode 100644 index 0000000..6b04d80 --- /dev/null +++ b/checkpoint-6000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cb111d0a527633ad175f612c9c12a129eb1b8bb2f53bc922ccbdd291442d83c3 +size 14645 diff --git a/checkpoint-6000/special_tokens_map.json b/checkpoint-6000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-6000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-6000/spiece.model b/checkpoint-6000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-6000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-6000/tokenizer_config.json b/checkpoint-6000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-6000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6000/trainer_state.json b/checkpoint-6000/trainer_state.json new file mode 100644 index 0000000..692a116 --- /dev/null +++ b/checkpoint-6000/trainer_state.json @@ -0,0 +1,12166 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.154705629565965, + "eval_steps": 500, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2455941188597760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-6000/training_args.bin b/checkpoint-6000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-6000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-6500/added_tokens.json b/checkpoint-6500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-6500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-6500/config.json b/checkpoint-6500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-6500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-6500/generation_config.json b/checkpoint-6500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-6500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-6500/model.safetensors b/checkpoint-6500/model.safetensors new file mode 100644 index 0000000..9c9c4f0 --- /dev/null +++ b/checkpoint-6500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da3dabdeb3c5cc9b2fadaa7b2277446c8ca51ddd831f8e7988c7099e2a5be78b +size 78179408 diff --git a/checkpoint-6500/rng_state.pth b/checkpoint-6500/rng_state.pth new file mode 100644 index 0000000..e406d90 --- /dev/null +++ b/checkpoint-6500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b3ec243356a59619229ff0b583b472d09119f44bc2d00fc1059d6986b1035a8 +size 14645 diff --git a/checkpoint-6500/special_tokens_map.json b/checkpoint-6500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-6500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-6500/spiece.model b/checkpoint-6500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-6500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-6500/tokenizer_config.json b/checkpoint-6500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-6500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6500/trainer_state.json b/checkpoint-6500/trainer_state.json new file mode 100644 index 0000000..21a4174 --- /dev/null +++ b/checkpoint-6500/trainer_state.json @@ -0,0 +1,13177 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.584443489471423, + "eval_steps": 500, + "global_step": 6500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2660892045096960.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-6500/training_args.bin b/checkpoint-6500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-6500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-7000/added_tokens.json b/checkpoint-7000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-7000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-7000/config.json b/checkpoint-7000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-7000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-7000/generation_config.json b/checkpoint-7000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-7000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-7000/model.safetensors b/checkpoint-7000/model.safetensors new file mode 100644 index 0000000..5557ae0 --- /dev/null +++ b/checkpoint-7000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e623fe6106fa23d992dc28ceb024ab5b7928da30a7d9cd725119a48dae4e35ce +size 78179408 diff --git a/checkpoint-7000/rng_state.pth b/checkpoint-7000/rng_state.pth new file mode 100644 index 0000000..b55d31a --- /dev/null +++ b/checkpoint-7000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:17647ae2d7ca0984697f77019ad1697b06b702252fed5c354862a693955d6bf8 +size 14645 diff --git a/checkpoint-7000/special_tokens_map.json b/checkpoint-7000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-7000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-7000/spiece.model b/checkpoint-7000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-7000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-7000/tokenizer_config.json b/checkpoint-7000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-7000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7000/trainer_state.json b/checkpoint-7000/trainer_state.json new file mode 100644 index 0000000..d6c4bd7 --- /dev/null +++ b/checkpoint-7000/trainer_state.json @@ -0,0 +1,14188 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.013751611516975, + "eval_steps": 500, + "global_step": 7000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2865953218775040.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-7000/training_args.bin b/checkpoint-7000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-7000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-7500/added_tokens.json b/checkpoint-7500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-7500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-7500/config.json b/checkpoint-7500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-7500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-7500/generation_config.json b/checkpoint-7500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-7500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-7500/model.safetensors b/checkpoint-7500/model.safetensors new file mode 100644 index 0000000..d1fe36a --- /dev/null +++ b/checkpoint-7500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b598cca632af91b8d2d9372122e8f88b5214ad176fe1789b3da626600ea56513 +size 78179408 diff --git a/checkpoint-7500/rng_state.pth b/checkpoint-7500/rng_state.pth new file mode 100644 index 0000000..a56160c --- /dev/null +++ b/checkpoint-7500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4a861ee918e853769d54d4198ada5b196fc9048ee30e6966b62e3612039075b +size 14645 diff --git a/checkpoint-7500/special_tokens_map.json b/checkpoint-7500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-7500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-7500/spiece.model b/checkpoint-7500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-7500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-7500/tokenizer_config.json b/checkpoint-7500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-7500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7500/trainer_state.json b/checkpoint-7500/trainer_state.json new file mode 100644 index 0000000..d7b9fb1 --- /dev/null +++ b/checkpoint-7500/trainer_state.json @@ -0,0 +1,15199 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.443489471422432, + "eval_steps": 500, + "global_step": 7500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3071697027287040.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-7500/training_args.bin b/checkpoint-7500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-7500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-8000/added_tokens.json b/checkpoint-8000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-8000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-8000/config.json b/checkpoint-8000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-8000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-8000/generation_config.json b/checkpoint-8000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-8000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-8000/model.safetensors b/checkpoint-8000/model.safetensors new file mode 100644 index 0000000..915c887 --- /dev/null +++ b/checkpoint-8000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ac0995db464ea85b9c5cc1dc15b6cdfef1fb087d904eba60cff788ec02389e6 +size 78179408 diff --git a/checkpoint-8000/rng_state.pth b/checkpoint-8000/rng_state.pth new file mode 100644 index 0000000..6ad43b7 --- /dev/null +++ b/checkpoint-8000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4dd1a14ffd8b7728556295447d329212bee47530d575c2d784302b461b95cd39 +size 14645 diff --git a/checkpoint-8000/special_tokens_map.json b/checkpoint-8000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-8000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-8000/spiece.model b/checkpoint-8000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-8000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-8000/tokenizer_config.json b/checkpoint-8000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-8000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8000/trainer_state.json b/checkpoint-8000/trainer_state.json new file mode 100644 index 0000000..e1a6c4f --- /dev/null +++ b/checkpoint-8000/trainer_state.json @@ -0,0 +1,16210 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.8732273313278895, + "eval_steps": 500, + "global_step": 8000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3272079027456000.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-8000/training_args.bin b/checkpoint-8000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-8000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-8500/added_tokens.json b/checkpoint-8500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-8500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-8500/config.json b/checkpoint-8500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-8500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-8500/generation_config.json b/checkpoint-8500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-8500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-8500/model.safetensors b/checkpoint-8500/model.safetensors new file mode 100644 index 0000000..156054d --- /dev/null +++ b/checkpoint-8500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc0377a5cacaca344c2776bfbb736c7fb33ab33e80935823115ebe308be22493 +size 78179408 diff --git a/checkpoint-8500/rng_state.pth b/checkpoint-8500/rng_state.pth new file mode 100644 index 0000000..713ff21 --- /dev/null +++ b/checkpoint-8500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:108370032e2e1dfddac43d73c7c7248e1e03b6021ab090c1fe947a87ed782912 +size 14645 diff --git a/checkpoint-8500/special_tokens_map.json b/checkpoint-8500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-8500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-8500/spiece.model b/checkpoint-8500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-8500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-8500/tokenizer_config.json b/checkpoint-8500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-8500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8500/trainer_state.json b/checkpoint-8500/trainer_state.json new file mode 100644 index 0000000..1be024c --- /dev/null +++ b/checkpoint-8500/trainer_state.json @@ -0,0 +1,17221 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.302535453373443, + "eval_steps": 500, + "global_step": 8500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3476720269486080.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-8500/training_args.bin b/checkpoint-8500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-8500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-9000/added_tokens.json b/checkpoint-9000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-9000/config.json b/checkpoint-9000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-9000/generation_config.json b/checkpoint-9000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-9000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9000/model.safetensors b/checkpoint-9000/model.safetensors new file mode 100644 index 0000000..81c69ae --- /dev/null +++ b/checkpoint-9000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2fa5cccf29a3226a745ed5cf257e3614d2f3b9b0c48add00f76fbff88a8faaad +size 78179408 diff --git a/checkpoint-9000/rng_state.pth b/checkpoint-9000/rng_state.pth new file mode 100644 index 0000000..6daed3f --- /dev/null +++ b/checkpoint-9000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:339a581b7229dfbe1e14b011b0f3069c6e71ad289c027c31d4d80e171d5ed0ad +size 14645 diff --git a/checkpoint-9000/special_tokens_map.json b/checkpoint-9000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-9000/spiece.model b/checkpoint-9000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-9000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-9000/tokenizer_config.json b/checkpoint-9000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9000/trainer_state.json b/checkpoint-9000/trainer_state.json new file mode 100644 index 0000000..8620787 --- /dev/null +++ b/checkpoint-9000/trainer_state.json @@ -0,0 +1,18232 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.7322733132789, + "eval_steps": 500, + "global_step": 9000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + }, + { + "entropy": 5.66387529373169, + "epoch": 7.306832831972497, + "grad_norm": 1.203125, + "learning_rate": 0.00013938223617599124, + "loss": 4.9421, + "mean_token_accuracy": 0.23342001885175706, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.74355845451355, + "epoch": 7.311130210571552, + "grad_norm": 1.4375, + "learning_rate": 0.00013911708523901514, + "loss": 4.9755, + "mean_token_accuracy": 0.23636211156845094, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.763104438781738, + "epoch": 7.315427589170606, + "grad_norm": 1.2734375, + "learning_rate": 0.00013885223101601303, + "loss": 4.8955, + "mean_token_accuracy": 0.23637697100639343, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.71501669883728, + "epoch": 7.319724967769661, + "grad_norm": 1.265625, + "learning_rate": 0.00013858767408532051, + "loss": 4.8816, + "mean_token_accuracy": 0.24099365025758743, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.723988056182861, + "epoch": 7.324022346368715, + "grad_norm": 1.375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8774, + "mean_token_accuracy": 0.23590993583202363, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.737170457839966, + "epoch": 7.32831972496777, + "grad_norm": 1.46875, + "learning_rate": 0.00013805945441096057, + "loss": 4.9277, + "mean_token_accuracy": 0.23668332844972612, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.7540687084197994, + "epoch": 7.332617103566824, + "grad_norm": 1.375, + "learning_rate": 0.00013779579282071364, + "loss": 4.9306, + "mean_token_accuracy": 0.2349459186196327, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.676801681518555, + "epoch": 7.336914482165879, + "grad_norm": 1.28125, + "learning_rate": 0.00013753243082961512, + "loss": 4.8768, + "mean_token_accuracy": 0.24011008739471434, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.68070273399353, + "epoch": 7.3412118607649335, + "grad_norm": 1.328125, + "learning_rate": 0.00013726936901274246, + "loss": 4.8393, + "mean_token_accuracy": 0.24872156083583832, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.800928020477295, + "epoch": 7.345509239363988, + "grad_norm": 1.21875, + "learning_rate": 0.0001370066079445174, + "loss": 4.9704, + "mean_token_accuracy": 0.23076788932085038, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.79030556678772, + "epoch": 7.349806617963043, + "grad_norm": 1.2421875, + "learning_rate": 0.00013674414819870502, + "loss": 5.0745, + "mean_token_accuracy": 0.22369800060987471, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.730133438110352, + "epoch": 7.354103996562097, + "grad_norm": 1.3984375, + "learning_rate": 0.00013648199034841264, + "loss": 4.92, + "mean_token_accuracy": 0.2387056604027748, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.69276180267334, + "epoch": 7.358401375161152, + "grad_norm": 1.34375, + "learning_rate": 0.0001362201349660882, + "loss": 4.8912, + "mean_token_accuracy": 0.24466140568256378, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.666532707214356, + "epoch": 7.362698753760206, + "grad_norm": 1.3203125, + "learning_rate": 0.0001359585826235192, + "loss": 4.8956, + "mean_token_accuracy": 0.24125270992517472, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.799620962142944, + "epoch": 7.366996132359261, + "grad_norm": 1.3984375, + "learning_rate": 0.00013569733389183126, + "loss": 4.9952, + "mean_token_accuracy": 0.22822352200746537, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.758121490478516, + "epoch": 7.371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.00013543638934148736, + "loss": 4.9296, + "mean_token_accuracy": 0.23435905277729036, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.814731168746948, + "epoch": 7.37559088955737, + "grad_norm": 1.359375, + "learning_rate": 0.000135175749542286, + "loss": 4.9821, + "mean_token_accuracy": 0.22124236524105073, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.67050518989563, + "epoch": 7.379888268156424, + "grad_norm": 1.21875, + "learning_rate": 0.0001349154150633604, + "loss": 4.8697, + "mean_token_accuracy": 0.2459047943353653, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.741513633728028, + "epoch": 7.384185646755479, + "grad_norm": 1.2578125, + "learning_rate": 0.000134655386473177, + "loss": 5.0171, + "mean_token_accuracy": 0.22208292037248611, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.637994432449341, + "epoch": 7.3884830253545335, + "grad_norm": 1.4375, + "learning_rate": 0.00013439566433953427, + "loss": 4.892, + "mean_token_accuracy": 0.2412777841091156, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.720129156112671, + "epoch": 7.392780403953588, + "grad_norm": 1.3359375, + "learning_rate": 0.0001341362492295616, + "loss": 4.89, + "mean_token_accuracy": 0.2424454867839813, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.777584362030029, + "epoch": 7.397077782552643, + "grad_norm": 1.46875, + "learning_rate": 0.00013387714170971776, + "loss": 4.9287, + "mean_token_accuracy": 0.22944550216197968, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.785937261581421, + "epoch": 7.401375161151697, + "grad_norm": 1.265625, + "learning_rate": 0.00013361834234579012, + "loss": 5.0178, + "mean_token_accuracy": 0.22616576850414277, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.6717626571655275, + "epoch": 7.405672539750752, + "grad_norm": 1.3671875, + "learning_rate": 0.0001333598517028931, + "loss": 4.9006, + "mean_token_accuracy": 0.23272989243268966, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.688118124008179, + "epoch": 7.409969918349806, + "grad_norm": 1.3125, + "learning_rate": 0.00013310167034546688, + "loss": 4.887, + "mean_token_accuracy": 0.2374843627214432, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.749850463867188, + "epoch": 7.414267296948861, + "grad_norm": 1.3984375, + "learning_rate": 0.0001328437988372763, + "loss": 4.9595, + "mean_token_accuracy": 0.22750054448843002, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.756968069076538, + "epoch": 7.418564675547916, + "grad_norm": 1.3125, + "learning_rate": 0.00013258623774140967, + "loss": 4.9342, + "mean_token_accuracy": 0.2360052227973938, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.706060266494751, + "epoch": 7.422862054146971, + "grad_norm": 1.375, + "learning_rate": 0.00013232898762027766, + "loss": 4.8852, + "mean_token_accuracy": 0.2418963521718979, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.772034740447998, + "epoch": 7.427159432746025, + "grad_norm": 1.2734375, + "learning_rate": 0.00013207204903561154, + "loss": 4.978, + "mean_token_accuracy": 0.23209577053785324, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.702054405212403, + "epoch": 7.43145681134508, + "grad_norm": 1.234375, + "learning_rate": 0.00013181542254846247, + "loss": 4.8473, + "mean_token_accuracy": 0.2422897547483444, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.75566291809082, + "epoch": 7.435754189944134, + "grad_norm": 1.390625, + "learning_rate": 0.0001315591087192002, + "loss": 4.9831, + "mean_token_accuracy": 0.2323268622159958, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.655916357040406, + "epoch": 7.440051568543189, + "grad_norm": 1.234375, + "learning_rate": 0.00013130310810751162, + "loss": 4.8862, + "mean_token_accuracy": 0.23978102058172227, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.784155988693238, + "epoch": 7.4443489471422435, + "grad_norm": 1.3671875, + "learning_rate": 0.00013104742127239983, + "loss": 5.016, + "mean_token_accuracy": 0.22613199800252914, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.7693627834320065, + "epoch": 7.448646325741298, + "grad_norm": 1.1484375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9986, + "mean_token_accuracy": 0.22481437474489213, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.737584114074707, + "epoch": 7.452943704340353, + "grad_norm": 1.375, + "learning_rate": 0.00013053699116449144, + "loss": 4.9084, + "mean_token_accuracy": 0.22960878312587737, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.89331545829773, + "epoch": 7.457241082939407, + "grad_norm": 1.203125, + "learning_rate": 0.00013028224900627026, + "loss": 5.0301, + "mean_token_accuracy": 0.21912138164043427, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.803331756591797, + "epoch": 7.461538461538462, + "grad_norm": 1.0625, + "learning_rate": 0.00013002782285377395, + "loss": 4.9622, + "mean_token_accuracy": 0.2376553386449814, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.750441551208496, + "epoch": 7.465835840137516, + "grad_norm": 1.4375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9946, + "mean_token_accuracy": 0.2235792651772499, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.789198493957519, + "epoch": 7.470133218736571, + "grad_norm": 1.5, + "learning_rate": 0.00012951992078752528, + "loss": 4.9474, + "mean_token_accuracy": 0.2321646735072136, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.744178915023804, + "epoch": 7.474430597335625, + "grad_norm": 1.1953125, + "learning_rate": 0.00012926644598282798, + "loss": 4.9459, + "mean_token_accuracy": 0.22402314394712447, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.74596061706543, + "epoch": 7.47872797593468, + "grad_norm": 1.234375, + "learning_rate": 0.0001290132894019634, + "loss": 4.9661, + "mean_token_accuracy": 0.23607563078403473, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.778988885879516, + "epoch": 7.483025354533734, + "grad_norm": 1.28125, + "learning_rate": 0.00012876045159772442, + "loss": 4.9489, + "mean_token_accuracy": 0.23937921822071076, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.773708295822144, + "epoch": 7.487322733132789, + "grad_norm": 1.3359375, + "learning_rate": 0.00012850793312220766, + "loss": 4.9283, + "mean_token_accuracy": 0.23426500260829924, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.674078750610351, + "epoch": 7.4916201117318435, + "grad_norm": 1.25, + "learning_rate": 0.00012825573452681266, + "loss": 4.8773, + "mean_token_accuracy": 0.24968714416027069, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.735969209671021, + "epoch": 7.495917490330898, + "grad_norm": 1.375, + "learning_rate": 0.00012800385636224017, + "loss": 4.9358, + "mean_token_accuracy": 0.23501814007759095, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.747404956817627, + "epoch": 7.500214868929953, + "grad_norm": 1.40625, + "learning_rate": 0.00012775229917849162, + "loss": 4.9054, + "mean_token_accuracy": 0.23629093021154404, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.761697673797608, + "epoch": 7.504512247529007, + "grad_norm": 1.234375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8979, + "mean_token_accuracy": 0.2428216427564621, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.700611209869384, + "epoch": 7.508809626128062, + "grad_norm": 1.171875, + "learning_rate": 0.00012725014994996534, + "loss": 4.9339, + "mean_token_accuracy": 0.24504542350769043, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.807457494735718, + "epoch": 7.513107004727116, + "grad_norm": 1.25, + "learning_rate": 0.00012699955900168075, + "loss": 4.9282, + "mean_token_accuracy": 0.229953795671463, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.729871797561645, + "epoch": 7.517404383326171, + "grad_norm": 1.3046875, + "learning_rate": 0.00012674929122720414, + "loss": 4.9777, + "mean_token_accuracy": 0.2232517972588539, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.635332775115967, + "epoch": 7.521701761925225, + "grad_norm": 1.2265625, + "learning_rate": 0.0001264993471730202, + "loss": 4.8575, + "mean_token_accuracy": 0.24274646639823913, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.737993383407593, + "epoch": 7.52599914052428, + "grad_norm": 1.3046875, + "learning_rate": 0.00012624972738490675, + "loss": 5.0013, + "mean_token_accuracy": 0.22250534743070602, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.810367679595947, + "epoch": 7.530296519123334, + "grad_norm": 1.21875, + "learning_rate": 0.00012600043240793368, + "loss": 4.9765, + "mean_token_accuracy": 0.2321833461523056, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.74908938407898, + "epoch": 7.534593897722389, + "grad_norm": 1.3671875, + "learning_rate": 0.00012575146278646175, + "loss": 4.8922, + "mean_token_accuracy": 0.23532313406467437, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.7044130802154545, + "epoch": 7.5388912763214435, + "grad_norm": 1.21875, + "learning_rate": 0.00012550281906414097, + "loss": 4.9005, + "mean_token_accuracy": 0.23530834317207336, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.754625558853149, + "epoch": 7.543188654920499, + "grad_norm": 1.234375, + "learning_rate": 0.00012525450178390972, + "loss": 4.9416, + "mean_token_accuracy": 0.2437831625342369, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.779452610015869, + "epoch": 7.547486033519553, + "grad_norm": 1.3046875, + "learning_rate": 0.0001250065114879939, + "loss": 4.9461, + "mean_token_accuracy": 0.23520458936691285, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.705014038085937, + "epoch": 7.551783412118608, + "grad_norm": 1.2890625, + "learning_rate": 0.00012475884871790505, + "loss": 4.8667, + "mean_token_accuracy": 0.2412562444806099, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.8083795547485355, + "epoch": 7.556080790717663, + "grad_norm": 1.296875, + "learning_rate": 0.00012451151401443982, + "loss": 5.0036, + "mean_token_accuracy": 0.22445941120386123, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.658902978897094, + "epoch": 7.560378169316717, + "grad_norm": 1.3046875, + "learning_rate": 0.00012426450791767815, + "loss": 4.8297, + "mean_token_accuracy": 0.24630579203367234, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.727620363235474, + "epoch": 7.564675547915772, + "grad_norm": 1.34375, + "learning_rate": 0.00012401783096698283, + "loss": 4.7861, + "mean_token_accuracy": 0.24524826556444168, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.739884567260742, + "epoch": 7.568972926514826, + "grad_norm": 1.203125, + "learning_rate": 0.00012377148370099764, + "loss": 4.9565, + "mean_token_accuracy": 0.22828071862459182, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.752638149261474, + "epoch": 7.573270305113881, + "grad_norm": 1.3046875, + "learning_rate": 0.00012352546665764642, + "loss": 4.9625, + "mean_token_accuracy": 0.22861632257699965, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.631821250915527, + "epoch": 7.577567683712935, + "grad_norm": 1.25, + "learning_rate": 0.00012327978037413219, + "loss": 4.8393, + "mean_token_accuracy": 0.2455634668469429, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.749710655212402, + "epoch": 7.58186506231199, + "grad_norm": 1.3828125, + "learning_rate": 0.00012303442538693564, + "loss": 4.9425, + "mean_token_accuracy": 0.23156363964080812, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.689564323425293, + "epoch": 7.586162440911044, + "grad_norm": 1.390625, + "learning_rate": 0.00012278940223181393, + "loss": 4.8338, + "mean_token_accuracy": 0.23270008265972136, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.725271081924438, + "epoch": 7.590459819510099, + "grad_norm": 1.25, + "learning_rate": 0.00012254471144379964, + "loss": 4.8128, + "mean_token_accuracy": 0.25256053656339644, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.727273273468017, + "epoch": 7.5947571981091535, + "grad_norm": 1.21875, + "learning_rate": 0.00012230035355719968, + "loss": 4.9651, + "mean_token_accuracy": 0.23480646908283234, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.772902631759644, + "epoch": 7.599054576708208, + "grad_norm": 1.2421875, + "learning_rate": 0.0001220563291055941, + "loss": 4.9437, + "mean_token_accuracy": 0.23261293321847915, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.765447664260864, + "epoch": 7.603351955307263, + "grad_norm": 1.3125, + "learning_rate": 0.0001218126386218347, + "loss": 4.9353, + "mean_token_accuracy": 0.23733194619417192, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.6730225563049315, + "epoch": 7.607649333906317, + "grad_norm": 1.3671875, + "learning_rate": 0.00012156928263804403, + "loss": 4.8637, + "mean_token_accuracy": 0.24171005487442015, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.743314933776856, + "epoch": 7.611946712505372, + "grad_norm": 1.421875, + "learning_rate": 0.0001213262616856144, + "loss": 5.0012, + "mean_token_accuracy": 0.2306993141770363, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.747490549087525, + "epoch": 7.616244091104426, + "grad_norm": 1.4453125, + "learning_rate": 0.00012108357629520635, + "loss": 4.9057, + "mean_token_accuracy": 0.2387942299246788, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.7210612297058105, + "epoch": 7.620541469703481, + "grad_norm": 1.34375, + "learning_rate": 0.00012084122699674785, + "loss": 4.8936, + "mean_token_accuracy": 0.23947659581899644, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.73658299446106, + "epoch": 7.624838848302535, + "grad_norm": 1.375, + "learning_rate": 0.00012059921431943278, + "loss": 4.943, + "mean_token_accuracy": 0.22805553525686265, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.778007841110229, + "epoch": 7.62913622690159, + "grad_norm": 1.4453125, + "learning_rate": 0.00012035753879172026, + "loss": 5.1314, + "mean_token_accuracy": 0.21736743450164794, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.67980465888977, + "epoch": 7.633433605500644, + "grad_norm": 1.375, + "learning_rate": 0.00012011620094133296, + "loss": 4.7809, + "mean_token_accuracy": 0.25052584558725355, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.683636951446533, + "epoch": 7.637730984099699, + "grad_norm": 1.2421875, + "learning_rate": 0.00011987520129525622, + "loss": 4.923, + "mean_token_accuracy": 0.2359049841761589, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.739316749572754, + "epoch": 7.6420283626987535, + "grad_norm": 1.46875, + "learning_rate": 0.000119634540379737, + "loss": 4.9459, + "mean_token_accuracy": 0.23375426828861237, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.769543027877807, + "epoch": 7.646325741297808, + "grad_norm": 1.3359375, + "learning_rate": 0.00011939421872028262, + "loss": 4.9518, + "mean_token_accuracy": 0.2293008342385292, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.688256788253784, + "epoch": 7.650623119896863, + "grad_norm": 1.296875, + "learning_rate": 0.00011915423684165948, + "loss": 4.8695, + "mean_token_accuracy": 0.2363400101661682, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.784082841873169, + "epoch": 7.654920498495917, + "grad_norm": 1.21875, + "learning_rate": 0.00011891459526789198, + "loss": 4.9513, + "mean_token_accuracy": 0.23087790459394456, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.750850200653076, + "epoch": 7.659217877094972, + "grad_norm": 1.2578125, + "learning_rate": 0.0001186752945222616, + "loss": 4.9408, + "mean_token_accuracy": 0.230193392932415, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.741831827163696, + "epoch": 7.663515255694026, + "grad_norm": 1.171875, + "learning_rate": 0.00011843633512730562, + "loss": 4.891, + "mean_token_accuracy": 0.23511849343776703, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.710381603240966, + "epoch": 7.667812634293082, + "grad_norm": 1.28125, + "learning_rate": 0.00011819771760481576, + "loss": 4.9056, + "mean_token_accuracy": 0.24004074782133103, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.659539985656738, + "epoch": 7.672110012892135, + "grad_norm": 1.3203125, + "learning_rate": 0.00011795944247583725, + "loss": 4.827, + "mean_token_accuracy": 0.2396245777606964, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.710673809051514, + "epoch": 7.676407391491191, + "grad_norm": 1.2265625, + "learning_rate": 0.00011772151026066789, + "loss": 4.8812, + "mean_token_accuracy": 0.23135425001382828, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.770887327194214, + "epoch": 7.680704770090245, + "grad_norm": 1.2421875, + "learning_rate": 0.00011748392147885642, + "loss": 5.0019, + "mean_token_accuracy": 0.22777645140886307, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.739024114608765, + "epoch": 7.6850021486893, + "grad_norm": 1.5390625, + "learning_rate": 0.00011724667664920177, + "loss": 4.9316, + "mean_token_accuracy": 0.23300305306911467, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.772635078430175, + "epoch": 7.689299527288354, + "grad_norm": 1.375, + "learning_rate": 0.00011700977628975183, + "loss": 5.0259, + "mean_token_accuracy": 0.22466233223676682, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.75628547668457, + "epoch": 7.693596905887409, + "grad_norm": 1.359375, + "learning_rate": 0.00011677322091780243, + "loss": 4.9441, + "mean_token_accuracy": 0.230313977599144, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.782389211654663, + "epoch": 7.6978942844864635, + "grad_norm": 1.3125, + "learning_rate": 0.0001165370110498958, + "loss": 4.9823, + "mean_token_accuracy": 0.22912768721580506, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.8072168827056885, + "epoch": 7.702191663085518, + "grad_norm": 1.3125, + "learning_rate": 0.00011630114720181989, + "loss": 4.9706, + "mean_token_accuracy": 0.2286185145378113, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.725326013565064, + "epoch": 7.706489041684573, + "grad_norm": 1.3046875, + "learning_rate": 0.00011606562988860711, + "loss": 4.9052, + "mean_token_accuracy": 0.23271812498569489, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.704691696166992, + "epoch": 7.710786420283627, + "grad_norm": 1.1796875, + "learning_rate": 0.0001158304596245332, + "loss": 4.8801, + "mean_token_accuracy": 0.23317846804857253, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.673254013061523, + "epoch": 7.715083798882682, + "grad_norm": 1.265625, + "learning_rate": 0.00011559563692311595, + "loss": 4.8871, + "mean_token_accuracy": 0.2425983503460884, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.715083312988281, + "epoch": 7.719381177481736, + "grad_norm": 1.25, + "learning_rate": 0.00011536116229711422, + "loss": 4.87, + "mean_token_accuracy": 0.23960913121700286, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.771728086471557, + "epoch": 7.723678556080791, + "grad_norm": 1.2734375, + "learning_rate": 0.000115127036258527, + "loss": 4.9468, + "mean_token_accuracy": 0.22923657298088074, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.707568883895874, + "epoch": 7.727975934679845, + "grad_norm": 1.375, + "learning_rate": 0.00011489325931859185, + "loss": 4.8257, + "mean_token_accuracy": 0.2456026166677475, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.703813886642456, + "epoch": 7.7322733132789, + "grad_norm": 1.2578125, + "learning_rate": 0.0001146598319877843, + "loss": 4.884, + "mean_token_accuracy": 0.2391938716173172, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.542284931685473, + "eval_loss": 5.893875598907471, + "eval_mean_token_accuracy": 0.18242550859445925, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0469, + "eval_samples_per_second": 1733.83, + "eval_steps_per_second": 216.912, + "step": 9000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3680735321548800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9000/training_args.bin b/checkpoint-9000/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-9000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/checkpoint-9500/added_tokens.json b/checkpoint-9500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-9500/config.json b/checkpoint-9500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-9500/generation_config.json b/checkpoint-9500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-9500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9500/model.safetensors b/checkpoint-9500/model.safetensors new file mode 100644 index 0000000..baa96ab --- /dev/null +++ b/checkpoint-9500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:35e79cd180dd118d7f7092884672d953c7a8b29237e1e24f7514bc080f74e2c4 +size 78179408 diff --git a/checkpoint-9500/rng_state.pth b/checkpoint-9500/rng_state.pth new file mode 100644 index 0000000..1db5c8c --- /dev/null +++ b/checkpoint-9500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:293fcdf87ac9a94888e647964272463909c8f861cba3c25286fdecf7bd6c31c1 +size 14645 diff --git a/checkpoint-9500/special_tokens_map.json b/checkpoint-9500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-9500/spiece.model b/checkpoint-9500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-9500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-9500/tokenizer_config.json b/checkpoint-9500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9500/trainer_state.json b/checkpoint-9500/trainer_state.json new file mode 100644 index 0000000..a5df113 --- /dev/null +++ b/checkpoint-9500/trainer_state.json @@ -0,0 +1,19243 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.161581435324452, + "eval_steps": 500, + "global_step": 9500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 4.90788049697876, + "epoch": 0.004297378599054577, + "grad_norm": 23.0, + "learning_rate": 2e-06, + "loss": 13.9846, + "mean_token_accuracy": 0.0, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 4.913597154617309, + "epoch": 0.008594757198109154, + "grad_norm": 23.875, + "learning_rate": 4.5e-06, + "loss": 13.7937, + "mean_token_accuracy": 0.0, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 4.986179208755493, + "epoch": 0.01289213579716373, + "grad_norm": 25.25, + "learning_rate": 7e-06, + "loss": 13.7057, + "mean_token_accuracy": 7.022471982054412e-05, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 5.105097055435181, + "epoch": 0.017189514396218308, + "grad_norm": 31.25, + "learning_rate": 9.5e-06, + "loss": 13.4704, + "mean_token_accuracy": 0.0, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 5.69900426864624, + "epoch": 0.021486892995272882, + "grad_norm": 38.5, + "learning_rate": 1.2e-05, + "loss": 12.6357, + "mean_token_accuracy": 0.0002869559801183641, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.67990927696228, + "epoch": 0.02578427159432746, + "grad_norm": 20.875, + "learning_rate": 1.4500000000000002e-05, + "loss": 11.573, + "mean_token_accuracy": 0.0, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 10.355410289764404, + "epoch": 0.030081650193382038, + "grad_norm": 3.453125, + "learning_rate": 1.7000000000000003e-05, + "loss": 10.8476, + "mean_token_accuracy": 0.0001408907352015376, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 10.715928554534912, + "epoch": 0.034379028792436615, + "grad_norm": 3.53125, + "learning_rate": 1.95e-05, + "loss": 10.6808, + "mean_token_accuracy": 0.001065203151665628, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 10.736311149597167, + "epoch": 0.03867640739149119, + "grad_norm": 3.328125, + "learning_rate": 2.2e-05, + "loss": 10.4612, + "mean_token_accuracy": 0.014692968456074595, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 10.713325881958008, + "epoch": 0.042973785990545764, + "grad_norm": 2.359375, + "learning_rate": 2.4500000000000003e-05, + "loss": 10.2528, + "mean_token_accuracy": 0.021226395200937987, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 10.619150924682618, + "epoch": 0.047271164589600345, + "grad_norm": 2.90625, + "learning_rate": 2.7e-05, + "loss": 10.0647, + "mean_token_accuracy": 0.019917360693216323, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 10.670361804962159, + "epoch": 0.05156854318865492, + "grad_norm": 2.046875, + "learning_rate": 2.95e-05, + "loss": 9.9914, + "mean_token_accuracy": 0.023917235806584357, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 10.706762981414794, + "epoch": 0.055865921787709494, + "grad_norm": 2.0, + "learning_rate": 3.2e-05, + "loss": 9.8119, + "mean_token_accuracy": 0.05865457281470299, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 10.680897426605224, + "epoch": 0.060163300386764075, + "grad_norm": 1.96875, + "learning_rate": 3.4500000000000005e-05, + "loss": 9.7551, + "mean_token_accuracy": 0.060981281101703644, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 10.6582462310791, + "epoch": 0.06446067898581866, + "grad_norm": 1.9609375, + "learning_rate": 3.7e-05, + "loss": 9.7084, + "mean_token_accuracy": 0.05785200446844101, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 10.663964080810548, + "epoch": 0.06875805758487323, + "grad_norm": 1.8671875, + "learning_rate": 3.95e-05, + "loss": 9.649, + "mean_token_accuracy": 0.060528215020895004, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 10.653559303283691, + "epoch": 0.0730554361839278, + "grad_norm": 1.875, + "learning_rate": 4.2000000000000004e-05, + "loss": 9.5699, + "mean_token_accuracy": 0.060284944623708724, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 10.636913108825684, + "epoch": 0.07735281478298238, + "grad_norm": 1.7578125, + "learning_rate": 4.45e-05, + "loss": 9.5761, + "mean_token_accuracy": 0.05633340328931809, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 10.626116371154785, + "epoch": 0.08165019338203695, + "grad_norm": 1.9375, + "learning_rate": 4.7000000000000004e-05, + "loss": 9.3779, + "mean_token_accuracy": 0.06080182269215584, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 10.605600547790527, + "epoch": 0.08594757198109153, + "grad_norm": 1.78125, + "learning_rate": 4.9500000000000004e-05, + "loss": 9.3452, + "mean_token_accuracy": 0.05839457102119923, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 10.575385189056396, + "epoch": 0.09024495058014612, + "grad_norm": 1.75, + "learning_rate": 5.2e-05, + "loss": 9.2591, + "mean_token_accuracy": 0.06349388286471366, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 10.532122993469239, + "epoch": 0.09454232917920069, + "grad_norm": 1.8515625, + "learning_rate": 5.45e-05, + "loss": 9.1605, + "mean_token_accuracy": 0.07098993584513665, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 10.480678367614747, + "epoch": 0.09883970777825526, + "grad_norm": 1.5703125, + "learning_rate": 5.7e-05, + "loss": 9.1509, + "mean_token_accuracy": 0.05849636979401111, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 10.444736099243164, + "epoch": 0.10313708637730984, + "grad_norm": 1.5546875, + "learning_rate": 5.9499999999999996e-05, + "loss": 8.9602, + "mean_token_accuracy": 0.07322230078279972, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 10.375800514221192, + "epoch": 0.10743446497636441, + "grad_norm": 1.5234375, + "learning_rate": 6.2e-05, + "loss": 8.8772, + "mean_token_accuracy": 0.07452203780412674, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 10.297348403930664, + "epoch": 0.11173184357541899, + "grad_norm": 1.4453125, + "learning_rate": 6.450000000000001e-05, + "loss": 8.7682, + "mean_token_accuracy": 0.07423729747533798, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 10.169759750366211, + "epoch": 0.11602922217447358, + "grad_norm": 1.421875, + "learning_rate": 6.7e-05, + "loss": 8.6555, + "mean_token_accuracy": 0.07146260924637318, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 10.120108795166015, + "epoch": 0.12032660077352815, + "grad_norm": 1.34375, + "learning_rate": 6.950000000000001e-05, + "loss": 8.6406, + "mean_token_accuracy": 0.0681857068091631, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 9.981133079528808, + "epoch": 0.12462397937258272, + "grad_norm": 1.4765625, + "learning_rate": 7.2e-05, + "loss": 8.5023, + "mean_token_accuracy": 0.06928090676665306, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 9.886031436920167, + "epoch": 0.1289213579716373, + "grad_norm": 1.234375, + "learning_rate": 7.45e-05, + "loss": 8.4198, + "mean_token_accuracy": 0.07501428201794624, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 9.753608226776123, + "epoch": 0.1332187365706919, + "grad_norm": 1.1875, + "learning_rate": 7.7e-05, + "loss": 8.2874, + "mean_token_accuracy": 0.07755625247955322, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 9.609795665740966, + "epoch": 0.13751611516974646, + "grad_norm": 1.0, + "learning_rate": 7.950000000000001e-05, + "loss": 8.2601, + "mean_token_accuracy": 0.06969402097165585, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 9.492193508148194, + "epoch": 0.14181349376880104, + "grad_norm": 0.94140625, + "learning_rate": 8.2e-05, + "loss": 8.1727, + "mean_token_accuracy": 0.07241848222911358, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 9.254251098632812, + "epoch": 0.1461108723678556, + "grad_norm": 0.86328125, + "learning_rate": 8.450000000000001e-05, + "loss": 8.0965, + "mean_token_accuracy": 0.07132276222109794, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 9.1218976020813, + "epoch": 0.15040825096691018, + "grad_norm": 0.94140625, + "learning_rate": 8.7e-05, + "loss": 8.0532, + "mean_token_accuracy": 0.06978616863489151, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 8.900997734069824, + "epoch": 0.15470562956596476, + "grad_norm": 0.78125, + "learning_rate": 8.95e-05, + "loss": 8.0224, + "mean_token_accuracy": 0.07444634772837162, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 8.709702205657958, + "epoch": 0.15900300816501933, + "grad_norm": 0.90234375, + "learning_rate": 9.2e-05, + "loss": 7.9836, + "mean_token_accuracy": 0.06757781356573105, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 8.654694271087646, + "epoch": 0.1633003867640739, + "grad_norm": 0.8046875, + "learning_rate": 9.45e-05, + "loss": 7.9562, + "mean_token_accuracy": 0.06648631133139134, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 8.521081924438477, + "epoch": 0.16759776536312848, + "grad_norm": 0.65625, + "learning_rate": 9.7e-05, + "loss": 7.9991, + "mean_token_accuracy": 0.06590078994631768, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 8.442760276794434, + "epoch": 0.17189514396218306, + "grad_norm": 1.0390625, + "learning_rate": 9.95e-05, + "loss": 7.9449, + "mean_token_accuracy": 0.06936337985098362, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 8.41897268295288, + "epoch": 0.17619252256123766, + "grad_norm": 0.83984375, + "learning_rate": 0.000102, + "loss": 7.9196, + "mean_token_accuracy": 0.0691080518066883, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 8.352293586730957, + "epoch": 0.18048990116029223, + "grad_norm": 0.83203125, + "learning_rate": 0.00010449999999999999, + "loss": 7.8931, + "mean_token_accuracy": 0.07045749872922898, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 8.23891839981079, + "epoch": 0.1847872797593468, + "grad_norm": 0.67578125, + "learning_rate": 0.000107, + "loss": 7.9378, + "mean_token_accuracy": 0.06828119307756424, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 8.277576446533203, + "epoch": 0.18908465835840138, + "grad_norm": 0.828125, + "learning_rate": 0.0001095, + "loss": 7.9179, + "mean_token_accuracy": 0.07761286348104476, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 8.313580322265626, + "epoch": 0.19338203695745596, + "grad_norm": 0.77734375, + "learning_rate": 0.000112, + "loss": 7.8686, + "mean_token_accuracy": 0.0736297857016325, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 8.305255031585693, + "epoch": 0.19767941555651053, + "grad_norm": 0.8671875, + "learning_rate": 0.0001145, + "loss": 7.8585, + "mean_token_accuracy": 0.07423750944435596, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 8.293313884735108, + "epoch": 0.2019767941555651, + "grad_norm": 0.828125, + "learning_rate": 0.00011700000000000001, + "loss": 7.7711, + "mean_token_accuracy": 0.08085694760084153, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 8.249619960784912, + "epoch": 0.20627417275461968, + "grad_norm": 1.0390625, + "learning_rate": 0.00011949999999999999, + "loss": 7.8993, + "mean_token_accuracy": 0.07239912934601307, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 8.27509069442749, + "epoch": 0.21057155135367425, + "grad_norm": 0.8125, + "learning_rate": 0.000122, + "loss": 7.8229, + "mean_token_accuracy": 0.0778175387531519, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 8.245413112640382, + "epoch": 0.21486892995272883, + "grad_norm": 0.9375, + "learning_rate": 0.0001245, + "loss": 7.7971, + "mean_token_accuracy": 0.07436932176351548, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 8.240999603271485, + "epoch": 0.2191663085517834, + "grad_norm": 0.84375, + "learning_rate": 0.000127, + "loss": 7.8138, + "mean_token_accuracy": 0.07600181177258492, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 8.211737537384034, + "epoch": 0.22346368715083798, + "grad_norm": 1.3984375, + "learning_rate": 0.0001295, + "loss": 7.8027, + "mean_token_accuracy": 0.08170078098773956, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 8.172839450836182, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.8171, + "mean_token_accuracy": 0.07734721302986144, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 8.150885677337646, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.7804, + "mean_token_accuracy": 0.07963913902640343, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 8.222941017150879, + "epoch": 0.23635582294800173, + "grad_norm": 1.140625, + "learning_rate": 0.00013700000000000002, + "loss": 7.785, + "mean_token_accuracy": 0.07519972808659077, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 8.142861270904541, + "epoch": 0.2406532015470563, + "grad_norm": 0.73046875, + "learning_rate": 0.0001395, + "loss": 7.7267, + "mean_token_accuracy": 0.08277813419699669, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 8.140101432800293, + "epoch": 0.24495058014611087, + "grad_norm": 0.859375, + "learning_rate": 0.00014199999999999998, + "loss": 7.8112, + "mean_token_accuracy": 0.0772799663245678, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 8.134088563919068, + "epoch": 0.24924795874516545, + "grad_norm": 1.125, + "learning_rate": 0.0001445, + "loss": 7.7764, + "mean_token_accuracy": 0.0777011513710022, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 8.083810663223266, + "epoch": 0.25354533734422, + "grad_norm": 0.81640625, + "learning_rate": 0.000147, + "loss": 7.7652, + "mean_token_accuracy": 0.07280438467860222, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 8.169271469116211, + "epoch": 0.2578427159432746, + "grad_norm": 1.1015625, + "learning_rate": 0.0001495, + "loss": 7.7957, + "mean_token_accuracy": 0.0796648234128952, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 8.125834083557129, + "epoch": 0.26214009454232917, + "grad_norm": 1.1484375, + "learning_rate": 0.000152, + "loss": 7.7996, + "mean_token_accuracy": 0.07962435148656369, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 8.13117265701294, + "epoch": 0.2664374731413838, + "grad_norm": 0.859375, + "learning_rate": 0.00015450000000000001, + "loss": 7.7089, + "mean_token_accuracy": 0.07958239540457726, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 8.057837867736817, + "epoch": 0.2707348517404383, + "grad_norm": 0.9140625, + "learning_rate": 0.000157, + "loss": 7.6928, + "mean_token_accuracy": 0.0828514739871025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 8.223217296600343, + "epoch": 0.2750322303394929, + "grad_norm": 1.1484375, + "learning_rate": 0.0001595, + "loss": 7.8692, + "mean_token_accuracy": 0.07304716818034648, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 8.053431844711303, + "epoch": 0.27932960893854747, + "grad_norm": 0.96484375, + "learning_rate": 0.000162, + "loss": 7.7017, + "mean_token_accuracy": 0.08142868839204312, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 8.063822364807129, + "epoch": 0.28362698753760207, + "grad_norm": 0.9453125, + "learning_rate": 0.00016450000000000001, + "loss": 7.7406, + "mean_token_accuracy": 0.0793286319822073, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 8.13500518798828, + "epoch": 0.2879243661366566, + "grad_norm": 0.86328125, + "learning_rate": 0.00016700000000000002, + "loss": 7.6735, + "mean_token_accuracy": 0.07961011826992034, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 8.040066146850586, + "epoch": 0.2922217447357112, + "grad_norm": 0.91015625, + "learning_rate": 0.00016950000000000003, + "loss": 7.6584, + "mean_token_accuracy": 0.08232032433152199, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 8.135028553009032, + "epoch": 0.29651912333476577, + "grad_norm": 1.8203125, + "learning_rate": 0.00017199999999999998, + "loss": 7.7489, + "mean_token_accuracy": 0.08271522969007492, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 8.011529541015625, + "epoch": 0.30081650193382037, + "grad_norm": 0.890625, + "learning_rate": 0.00017449999999999999, + "loss": 7.6696, + "mean_token_accuracy": 0.0852140061557293, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 8.075648546218872, + "epoch": 0.30511388053287497, + "grad_norm": 1.046875, + "learning_rate": 0.000177, + "loss": 7.8072, + "mean_token_accuracy": 0.07943284660577773, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 8.112467098236085, + "epoch": 0.3094112591319295, + "grad_norm": 1.375, + "learning_rate": 0.0001795, + "loss": 7.6965, + "mean_token_accuracy": 0.08117582276463509, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 8.078112173080445, + "epoch": 0.3137086377309841, + "grad_norm": 1.375, + "learning_rate": 0.000182, + "loss": 7.6883, + "mean_token_accuracy": 0.08609185442328453, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.986557722091675, + "epoch": 0.31800601633003867, + "grad_norm": 1.09375, + "learning_rate": 0.0001845, + "loss": 7.6259, + "mean_token_accuracy": 0.08559975251555443, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 8.04137225151062, + "epoch": 0.32230339492909327, + "grad_norm": 1.0390625, + "learning_rate": 0.000187, + "loss": 7.6371, + "mean_token_accuracy": 0.08901203349232674, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 8.031937456130981, + "epoch": 0.3266007735281478, + "grad_norm": 1.03125, + "learning_rate": 0.0001895, + "loss": 7.5447, + "mean_token_accuracy": 0.08979653343558311, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.969046926498413, + "epoch": 0.3308981521272024, + "grad_norm": 1.5546875, + "learning_rate": 0.000192, + "loss": 7.61, + "mean_token_accuracy": 0.07953116819262504, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 8.007894515991211, + "epoch": 0.33519553072625696, + "grad_norm": 1.7421875, + "learning_rate": 0.0001945, + "loss": 7.5729, + "mean_token_accuracy": 0.08715594932436943, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 8.037422609329223, + "epoch": 0.33949290932531156, + "grad_norm": 1.203125, + "learning_rate": 0.00019700000000000002, + "loss": 7.6302, + "mean_token_accuracy": 0.08520551696419716, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 8.013258504867554, + "epoch": 0.3437902879243661, + "grad_norm": 1.0859375, + "learning_rate": 0.00019950000000000002, + "loss": 7.5717, + "mean_token_accuracy": 0.08992563635110855, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 8.055727624893189, + "epoch": 0.3480876665234207, + "grad_norm": 1.2109375, + "learning_rate": 0.000202, + "loss": 7.5987, + "mean_token_accuracy": 0.08299638405442238, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.958417224884033, + "epoch": 0.3523850451224753, + "grad_norm": 1.1484375, + "learning_rate": 0.00020449999999999998, + "loss": 7.5847, + "mean_token_accuracy": 0.08687192872166634, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.976228284835815, + "epoch": 0.35668242372152986, + "grad_norm": 0.953125, + "learning_rate": 0.000207, + "loss": 7.5894, + "mean_token_accuracy": 0.0836369551718235, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.9206877708435055, + "epoch": 0.36097980232058446, + "grad_norm": 1.09375, + "learning_rate": 0.0002095, + "loss": 7.5472, + "mean_token_accuracy": 0.08791278377175331, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.975084543228149, + "epoch": 0.365277180919639, + "grad_norm": 1.03125, + "learning_rate": 0.000212, + "loss": 7.6033, + "mean_token_accuracy": 0.08895924240350724, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.908215951919556, + "epoch": 0.3695745595186936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002145, + "loss": 7.5822, + "mean_token_accuracy": 0.08788935765624047, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 8.003646516799927, + "epoch": 0.37387193811774816, + "grad_norm": 1.4296875, + "learning_rate": 0.00021700000000000002, + "loss": 7.6269, + "mean_token_accuracy": 0.0811423234641552, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 8.020764684677124, + "epoch": 0.37816931671680276, + "grad_norm": 1.4609375, + "learning_rate": 0.0002195, + "loss": 7.5218, + "mean_token_accuracy": 0.08682032898068429, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.909510374069214, + "epoch": 0.3824666953158573, + "grad_norm": 1.4453125, + "learning_rate": 0.000222, + "loss": 7.55, + "mean_token_accuracy": 0.08918910399079323, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.937164402008056, + "epoch": 0.3867640739149119, + "grad_norm": 1.3515625, + "learning_rate": 0.0002245, + "loss": 7.4594, + "mean_token_accuracy": 0.08978109285235406, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.91705961227417, + "epoch": 0.39106145251396646, + "grad_norm": 1.109375, + "learning_rate": 0.00022700000000000002, + "loss": 7.4827, + "mean_token_accuracy": 0.08797861486673356, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.884686851501465, + "epoch": 0.39535883111302106, + "grad_norm": 1.078125, + "learning_rate": 0.00022950000000000002, + "loss": 7.499, + "mean_token_accuracy": 0.08911096453666686, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.961242198944092, + "epoch": 0.39965620971207566, + "grad_norm": 1.375, + "learning_rate": 0.00023200000000000003, + "loss": 7.463, + "mean_token_accuracy": 0.08996951058506966, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.896987247467041, + "epoch": 0.4039535883111302, + "grad_norm": 0.96875, + "learning_rate": 0.00023449999999999998, + "loss": 7.5646, + "mean_token_accuracy": 0.0861456498503685, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 8.01444125175476, + "epoch": 0.4082509669101848, + "grad_norm": 1.234375, + "learning_rate": 0.000237, + "loss": 7.5439, + "mean_token_accuracy": 0.0893861047923565, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.83814754486084, + "epoch": 0.41254834550923936, + "grad_norm": 1.3046875, + "learning_rate": 0.0002395, + "loss": 7.458, + "mean_token_accuracy": 0.09221402034163476, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.830886650085449, + "epoch": 0.41684572410829396, + "grad_norm": 1.3359375, + "learning_rate": 0.000242, + "loss": 7.4055, + "mean_token_accuracy": 0.08723795711994171, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.888704490661621, + "epoch": 0.4211431027073485, + "grad_norm": 1.9609375, + "learning_rate": 0.0002445, + "loss": 7.5116, + "mean_token_accuracy": 0.08683100938796998, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.814441156387329, + "epoch": 0.4254404813064031, + "grad_norm": 1.0546875, + "learning_rate": 0.000247, + "loss": 7.4596, + "mean_token_accuracy": 0.08961054012179374, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.8445289611816404, + "epoch": 0.42973785990545765, + "grad_norm": 0.92578125, + "learning_rate": 0.0002495, + "loss": 7.4306, + "mean_token_accuracy": 0.09552830010652542, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.63128979463835, + "eval_loss": 7.479809284210205, + "eval_mean_token_accuracy": 0.0912898702228123, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0631, + "eval_samples_per_second": 1720.253, + "eval_steps_per_second": 215.213, + "step": 500 + }, + { + "entropy": 7.809079313278199, + "epoch": 0.43403523850451226, + "grad_norm": 1.0703125, + "learning_rate": 0.000252, + "loss": 7.4118, + "mean_token_accuracy": 0.08965951427817345, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.847093725204468, + "epoch": 0.4383326171035668, + "grad_norm": 1.1953125, + "learning_rate": 0.0002545, + "loss": 7.429, + "mean_token_accuracy": 0.09137469455599785, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.866995763778687, + "epoch": 0.4426299957026214, + "grad_norm": 1.25, + "learning_rate": 0.000257, + "loss": 7.5053, + "mean_token_accuracy": 0.09116312190890312, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.865507459640503, + "epoch": 0.44692737430167595, + "grad_norm": 0.984375, + "learning_rate": 0.0002595, + "loss": 7.4689, + "mean_token_accuracy": 0.08555961102247238, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.781367206573487, + "epoch": 0.45122475290073055, + "grad_norm": 1.0, + "learning_rate": 0.000262, + "loss": 7.3577, + "mean_token_accuracy": 0.09929761290550232, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.766856384277344, + "epoch": 0.45552213149978515, + "grad_norm": 1.171875, + "learning_rate": 0.00026450000000000003, + "loss": 7.4694, + "mean_token_accuracy": 0.09030876457691192, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.901469707489014, + "epoch": 0.4598195100988397, + "grad_norm": 1.046875, + "learning_rate": 0.00026700000000000004, + "loss": 7.4753, + "mean_token_accuracy": 0.09142492190003396, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.716486024856567, + "epoch": 0.4641168886978943, + "grad_norm": 1.3203125, + "learning_rate": 0.00026950000000000005, + "loss": 7.3638, + "mean_token_accuracy": 0.09268842414021491, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.767406940460205, + "epoch": 0.46841426729694885, + "grad_norm": 1.34375, + "learning_rate": 0.00027200000000000005, + "loss": 7.3949, + "mean_token_accuracy": 0.09462741911411285, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.815031290054321, + "epoch": 0.47271164589600345, + "grad_norm": 1.109375, + "learning_rate": 0.0002745, + "loss": 7.4369, + "mean_token_accuracy": 0.09093201607465744, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.7446294784545895, + "epoch": 0.477009024495058, + "grad_norm": 1.1171875, + "learning_rate": 0.000277, + "loss": 7.3662, + "mean_token_accuracy": 0.09483416303992272, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.768563890457154, + "epoch": 0.4813064030941126, + "grad_norm": 1.4375, + "learning_rate": 0.0002795, + "loss": 7.3624, + "mean_token_accuracy": 0.09757203981280327, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.691549444198609, + "epoch": 0.48560378169316715, + "grad_norm": 1.1796875, + "learning_rate": 0.00028199999999999997, + "loss": 7.3155, + "mean_token_accuracy": 0.0982676163315773, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.725941944122314, + "epoch": 0.48990116029222175, + "grad_norm": 0.99609375, + "learning_rate": 0.0002845, + "loss": 7.2996, + "mean_token_accuracy": 0.09966658651828766, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.717142486572266, + "epoch": 0.4941985388912763, + "grad_norm": 1.0703125, + "learning_rate": 0.000287, + "loss": 7.3328, + "mean_token_accuracy": 0.09679939597845078, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.726046752929688, + "epoch": 0.4984959174903309, + "grad_norm": 1.6875, + "learning_rate": 0.0002895, + "loss": 7.3382, + "mean_token_accuracy": 0.09426090195775032, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.633957862854004, + "epoch": 0.5027932960893855, + "grad_norm": 1.1953125, + "learning_rate": 0.000292, + "loss": 7.3198, + "mean_token_accuracy": 0.09904149472713471, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.770825815200806, + "epoch": 0.50709067468844, + "grad_norm": 1.25, + "learning_rate": 0.0002945, + "loss": 7.3476, + "mean_token_accuracy": 0.09258887320756912, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.691164636611939, + "epoch": 0.5113880532874946, + "grad_norm": 1.375, + "learning_rate": 0.000297, + "loss": 7.3104, + "mean_token_accuracy": 0.09508624523878098, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.71315016746521, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.3272, + "mean_token_accuracy": 0.09484435245394707, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.773202800750733, + "epoch": 0.5199828104856038, + "grad_norm": 1.078125, + "learning_rate": 0.000302, + "loss": 7.3362, + "mean_token_accuracy": 0.10049614533782006, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.529764127731323, + "epoch": 0.5242801890846583, + "grad_norm": 1.3359375, + "learning_rate": 0.0003045, + "loss": 7.2799, + "mean_token_accuracy": 0.10042180344462395, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.751347589492798, + "epoch": 0.5285775676837129, + "grad_norm": 1.3828125, + "learning_rate": 0.000307, + "loss": 7.3109, + "mean_token_accuracy": 0.09996724799275399, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.551737356185913, + "epoch": 0.5328749462827675, + "grad_norm": 1.1640625, + "learning_rate": 0.0003095, + "loss": 7.2409, + "mean_token_accuracy": 0.09862213358283042, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.609012699127197, + "epoch": 0.5371723248818221, + "grad_norm": 1.2421875, + "learning_rate": 0.000312, + "loss": 7.2349, + "mean_token_accuracy": 0.09517790451645851, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.7104791641235355, + "epoch": 0.5414697034808766, + "grad_norm": 1.1875, + "learning_rate": 0.0003145, + "loss": 7.2709, + "mean_token_accuracy": 0.10074363201856613, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.587553977966309, + "epoch": 0.5457670820799312, + "grad_norm": 1.2578125, + "learning_rate": 0.000317, + "loss": 7.2408, + "mean_token_accuracy": 0.1027376800775528, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.597120857238769, + "epoch": 0.5500644606789858, + "grad_norm": 1.28125, + "learning_rate": 0.0003195, + "loss": 7.2171, + "mean_token_accuracy": 0.10400616675615311, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.627674579620361, + "epoch": 0.5543618392780404, + "grad_norm": 1.0390625, + "learning_rate": 0.000322, + "loss": 7.3008, + "mean_token_accuracy": 0.09583014771342277, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.639283657073975, + "epoch": 0.5586592178770949, + "grad_norm": 1.0703125, + "learning_rate": 0.00032450000000000003, + "loss": 7.2766, + "mean_token_accuracy": 0.09886594414710999, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.654122257232666, + "epoch": 0.5629565964761496, + "grad_norm": 1.5234375, + "learning_rate": 0.00032700000000000003, + "loss": 7.2462, + "mean_token_accuracy": 0.10131431221961976, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.497343397140503, + "epoch": 0.5672539750752041, + "grad_norm": 1.203125, + "learning_rate": 0.00032950000000000004, + "loss": 7.2029, + "mean_token_accuracy": 0.10030499249696731, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.620815324783325, + "epoch": 0.5715513536742587, + "grad_norm": 1.1953125, + "learning_rate": 0.00033200000000000005, + "loss": 7.2489, + "mean_token_accuracy": 0.0975674532353878, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.556894588470459, + "epoch": 0.5758487322733132, + "grad_norm": 1.265625, + "learning_rate": 0.00033450000000000005, + "loss": 7.1783, + "mean_token_accuracy": 0.10579388439655305, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.638325643539429, + "epoch": 0.5801461108723679, + "grad_norm": 1.2109375, + "learning_rate": 0.000337, + "loss": 7.1487, + "mean_token_accuracy": 0.10557905286550522, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.557331895828247, + "epoch": 0.5844434894714224, + "grad_norm": 1.3984375, + "learning_rate": 0.0003395, + "loss": 7.2067, + "mean_token_accuracy": 0.10470035746693611, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.48933973312378, + "epoch": 0.588740868070477, + "grad_norm": 1.1640625, + "learning_rate": 0.000342, + "loss": 7.173, + "mean_token_accuracy": 0.1077287070453167, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.698177099227905, + "epoch": 0.5930382466695315, + "grad_norm": 1.1015625, + "learning_rate": 0.00034449999999999997, + "loss": 7.2652, + "mean_token_accuracy": 0.09988318458199501, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.376710081100464, + "epoch": 0.5973356252685862, + "grad_norm": 1.1953125, + "learning_rate": 0.000347, + "loss": 7.0588, + "mean_token_accuracy": 0.10656947568058968, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.442113256454467, + "epoch": 0.6016330038676407, + "grad_norm": 1.0390625, + "learning_rate": 0.0003495, + "loss": 7.1521, + "mean_token_accuracy": 0.10797703564167023, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.575676298141479, + "epoch": 0.6059303824666953, + "grad_norm": 0.921875, + "learning_rate": 0.000352, + "loss": 7.2053, + "mean_token_accuracy": 0.1014741227030754, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.616156387329101, + "epoch": 0.6102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.0003545, + "loss": 7.1986, + "mean_token_accuracy": 0.1000370778143406, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.500000095367431, + "epoch": 0.6145251396648045, + "grad_norm": 1.234375, + "learning_rate": 0.000357, + "loss": 7.162, + "mean_token_accuracy": 0.10414053946733474, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.507882452011108, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 7.1852, + "mean_token_accuracy": 0.10390809029340745, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.507648563385009, + "epoch": 0.6231198968629136, + "grad_norm": 1.0703125, + "learning_rate": 0.000362, + "loss": 7.2148, + "mean_token_accuracy": 0.10065656825900078, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.490116739273072, + "epoch": 0.6274172754619682, + "grad_norm": 1.5, + "learning_rate": 0.0003645, + "loss": 7.163, + "mean_token_accuracy": 0.10862415507435799, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.495247173309326, + "epoch": 0.6317146540610228, + "grad_norm": 1.4296875, + "learning_rate": 0.000367, + "loss": 7.1357, + "mean_token_accuracy": 0.11479571759700775, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.333670282363892, + "epoch": 0.6360120326600773, + "grad_norm": 1.265625, + "learning_rate": 0.0003695, + "loss": 7.0924, + "mean_token_accuracy": 0.10395059809088707, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.5272722244262695, + "epoch": 0.6403094112591319, + "grad_norm": 1.3203125, + "learning_rate": 0.000372, + "loss": 7.1365, + "mean_token_accuracy": 0.09796565026044846, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.43572735786438, + "epoch": 0.6446067898581865, + "grad_norm": 1.3203125, + "learning_rate": 0.0003745, + "loss": 7.0538, + "mean_token_accuracy": 0.11305336132645608, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.471644115447998, + "epoch": 0.6489041684572411, + "grad_norm": 1.1015625, + "learning_rate": 0.000377, + "loss": 7.1846, + "mean_token_accuracy": 0.10423881933093071, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.529570055007935, + "epoch": 0.6532015470562956, + "grad_norm": 1.921875, + "learning_rate": 0.0003795, + "loss": 7.2099, + "mean_token_accuracy": 0.10423211976885796, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.447458553314209, + "epoch": 0.6574989256553503, + "grad_norm": 1.3046875, + "learning_rate": 0.000382, + "loss": 6.995, + "mean_token_accuracy": 0.11015288382768632, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.396367502212525, + "epoch": 0.6617963042544048, + "grad_norm": 1.453125, + "learning_rate": 0.0003845, + "loss": 7.0909, + "mean_token_accuracy": 0.11230141893029214, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.3504656791687015, + "epoch": 0.6660936828534594, + "grad_norm": 1.1640625, + "learning_rate": 0.00038700000000000003, + "loss": 7.1044, + "mean_token_accuracy": 0.11002744212746621, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.394146966934204, + "epoch": 0.6703910614525139, + "grad_norm": 1.0234375, + "learning_rate": 0.00038950000000000003, + "loss": 7.0762, + "mean_token_accuracy": 0.11049489751458168, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.4956427097320555, + "epoch": 0.6746884400515686, + "grad_norm": 1.7890625, + "learning_rate": 0.00039200000000000004, + "loss": 7.1402, + "mean_token_accuracy": 0.11158580034971237, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.476742601394653, + "epoch": 0.6789858186506231, + "grad_norm": 1.2421875, + "learning_rate": 0.00039450000000000005, + "loss": 7.1666, + "mean_token_accuracy": 0.10097377747297287, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.437243223190308, + "epoch": 0.6832831972496777, + "grad_norm": 1.1640625, + "learning_rate": 0.00039700000000000005, + "loss": 7.142, + "mean_token_accuracy": 0.10785873606801033, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.319718980789185, + "epoch": 0.6875805758487322, + "grad_norm": 1.296875, + "learning_rate": 0.0003995, + "loss": 7.009, + "mean_token_accuracy": 0.11284941285848618, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.428938245773315, + "epoch": 0.6918779544477869, + "grad_norm": 1.125, + "learning_rate": 0.000402, + "loss": 7.0856, + "mean_token_accuracy": 0.1089414782822132, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.379511928558349, + "epoch": 0.6961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0004045, + "loss": 6.9721, + "mean_token_accuracy": 0.11648677214980126, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.305799245834351, + "epoch": 0.700472711645896, + "grad_norm": 1.359375, + "learning_rate": 0.00040699999999999997, + "loss": 7.0538, + "mean_token_accuracy": 0.10682568848133087, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.325813055038452, + "epoch": 0.7047700902449506, + "grad_norm": 1.125, + "learning_rate": 0.0004095, + "loss": 7.0643, + "mean_token_accuracy": 0.10892463400959969, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.319435358047485, + "epoch": 0.7090674688440052, + "grad_norm": 1.25, + "learning_rate": 0.000412, + "loss": 6.9276, + "mean_token_accuracy": 0.11442206054925919, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.347770023345947, + "epoch": 0.7133648474430597, + "grad_norm": 1.140625, + "learning_rate": 0.0004145, + "loss": 7.0315, + "mean_token_accuracy": 0.11255533620715141, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.312428903579712, + "epoch": 0.7176622260421143, + "grad_norm": 1.1171875, + "learning_rate": 0.000417, + "loss": 7.022, + "mean_token_accuracy": 0.11886205449700356, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.217544221878052, + "epoch": 0.7219596046411689, + "grad_norm": 1.0390625, + "learning_rate": 0.0004195, + "loss": 6.8992, + "mean_token_accuracy": 0.1128052294254303, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.309549617767334, + "epoch": 0.7262569832402235, + "grad_norm": 1.1015625, + "learning_rate": 0.000422, + "loss": 6.9283, + "mean_token_accuracy": 0.11749697029590607, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.349371337890625, + "epoch": 0.730554361839278, + "grad_norm": 1.1953125, + "learning_rate": 0.0004245, + "loss": 6.9859, + "mean_token_accuracy": 0.11753521487116814, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.286138200759888, + "epoch": 0.7348517404383326, + "grad_norm": 1.390625, + "learning_rate": 0.000427, + "loss": 6.9421, + "mean_token_accuracy": 0.11514310464262963, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 7.193848180770874, + "epoch": 0.7391491190373872, + "grad_norm": 1.2421875, + "learning_rate": 0.0004295, + "loss": 6.9406, + "mean_token_accuracy": 0.11694173738360406, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.279930353164673, + "epoch": 0.7434464976364418, + "grad_norm": 1.3203125, + "learning_rate": 0.000432, + "loss": 7.0219, + "mean_token_accuracy": 0.11416142880916595, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.322668170928955, + "epoch": 0.7477438762354963, + "grad_norm": 1.1328125, + "learning_rate": 0.0004345, + "loss": 7.0371, + "mean_token_accuracy": 0.11332832500338555, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.236435031890869, + "epoch": 0.752041254834551, + "grad_norm": 1.1796875, + "learning_rate": 0.000437, + "loss": 6.9403, + "mean_token_accuracy": 0.11505360826849938, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.316900205612183, + "epoch": 0.7563386334336055, + "grad_norm": 1.484375, + "learning_rate": 0.0004395, + "loss": 7.048, + "mean_token_accuracy": 0.10665819644927979, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.344276475906372, + "epoch": 0.7606360120326601, + "grad_norm": 1.3515625, + "learning_rate": 0.000442, + "loss": 7.0296, + "mean_token_accuracy": 0.11478703245520591, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.300757169723511, + "epoch": 0.7649333906317146, + "grad_norm": 1.1640625, + "learning_rate": 0.0004445, + "loss": 7.0139, + "mean_token_accuracy": 0.10667152628302574, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.2238458633422855, + "epoch": 0.7692307692307693, + "grad_norm": 1.0625, + "learning_rate": 0.000447, + "loss": 6.9705, + "mean_token_accuracy": 0.11665266454219818, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.301079988479614, + "epoch": 0.7735281478298238, + "grad_norm": 1.234375, + "learning_rate": 0.00044950000000000003, + "loss": 6.9563, + "mean_token_accuracy": 0.11468923836946487, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.2134482860565186, + "epoch": 0.7778255264288784, + "grad_norm": 1.2578125, + "learning_rate": 0.00045200000000000004, + "loss": 6.9011, + "mean_token_accuracy": 0.11652599200606346, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.3395082473754885, + "epoch": 0.7821229050279329, + "grad_norm": 1.28125, + "learning_rate": 0.00045450000000000004, + "loss": 7.0207, + "mean_token_accuracy": 0.10909055322408676, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.182226657867432, + "epoch": 0.7864202836269876, + "grad_norm": 1.265625, + "learning_rate": 0.00045700000000000005, + "loss": 6.8925, + "mean_token_accuracy": 0.11583453565835952, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.263977575302124, + "epoch": 0.7907176622260421, + "grad_norm": 1.0390625, + "learning_rate": 0.00045950000000000006, + "loss": 6.961, + "mean_token_accuracy": 0.11562951728701591, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.198910236358643, + "epoch": 0.7950150408250967, + "grad_norm": 1.109375, + "learning_rate": 0.000462, + "loss": 6.9431, + "mean_token_accuracy": 0.11777721717953682, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.280461740493775, + "epoch": 0.7993124194241513, + "grad_norm": 1.3203125, + "learning_rate": 0.0004645, + "loss": 7.0482, + "mean_token_accuracy": 0.10834663063287735, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.22996711730957, + "epoch": 0.8036097980232059, + "grad_norm": 1.15625, + "learning_rate": 0.000467, + "loss": 7.019, + "mean_token_accuracy": 0.10943668559193612, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.193253135681152, + "epoch": 0.8079071766222604, + "grad_norm": 1.03125, + "learning_rate": 0.0004695, + "loss": 6.9077, + "mean_token_accuracy": 0.11359465345740319, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.2548192024230955, + "epoch": 0.812204555221315, + "grad_norm": 0.98828125, + "learning_rate": 0.000472, + "loss": 6.9424, + "mean_token_accuracy": 0.11716259941458702, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.272028970718384, + "epoch": 0.8165019338203696, + "grad_norm": 1.2578125, + "learning_rate": 0.0004745, + "loss": 6.9794, + "mean_token_accuracy": 0.11456828936934471, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.167596483230591, + "epoch": 0.8207993124194242, + "grad_norm": 1.0703125, + "learning_rate": 0.000477, + "loss": 6.9522, + "mean_token_accuracy": 0.11233177706599236, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.214958715438843, + "epoch": 0.8250966910184787, + "grad_norm": 1.4375, + "learning_rate": 0.0004795, + "loss": 6.8938, + "mean_token_accuracy": 0.11346546709537506, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.167982864379883, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.8975, + "mean_token_accuracy": 0.11846677288413048, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 7.095029211044311, + "epoch": 0.8336914482165879, + "grad_norm": 1.203125, + "learning_rate": 0.0004845, + "loss": 6.8141, + "mean_token_accuracy": 0.12262827306985855, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.099491214752197, + "epoch": 0.8379888268156425, + "grad_norm": 1.140625, + "learning_rate": 0.000487, + "loss": 6.8854, + "mean_token_accuracy": 0.11621206700801849, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.235454845428467, + "epoch": 0.842286205414697, + "grad_norm": 1.2578125, + "learning_rate": 0.0004895, + "loss": 7.0682, + "mean_token_accuracy": 0.11861302182078362, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.143100643157959, + "epoch": 0.8465835840137517, + "grad_norm": 1.1328125, + "learning_rate": 0.000492, + "loss": 6.9304, + "mean_token_accuracy": 0.11692859306931495, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.2316286087036135, + "epoch": 0.8508809626128062, + "grad_norm": 1.203125, + "learning_rate": 0.0004945, + "loss": 6.9348, + "mean_token_accuracy": 0.11131151169538497, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 7.094430828094483, + "epoch": 0.8551783412118608, + "grad_norm": 0.90625, + "learning_rate": 0.000497, + "loss": 6.8575, + "mean_token_accuracy": 0.11684277504682541, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.199878978729248, + "epoch": 0.8594757198109153, + "grad_norm": 1.2109375, + "learning_rate": 0.0004995, + "loss": 6.878, + "mean_token_accuracy": 0.1225502647459507, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.741199510591525, + "eval_loss": 6.911599636077881, + "eval_mean_token_accuracy": 0.11959127177324919, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0596, + "eval_samples_per_second": 1723.145, + "eval_steps_per_second": 215.575, + "step": 1000 + }, + { + "entropy": 7.135749387741089, + "epoch": 0.86377309840997, + "grad_norm": 1.2734375, + "learning_rate": 0.0004999998427807679, + "loss": 6.88, + "mean_token_accuracy": 0.11578838974237442, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 7.0467671871185305, + "epoch": 0.8680704770090245, + "grad_norm": 1.328125, + "learning_rate": 0.0004999992040780138, + "loss": 6.9483, + "mean_token_accuracy": 0.11809242218732834, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.2159933090209964, + "epoch": 0.8723678556080791, + "grad_norm": 1.046875, + "learning_rate": 0.0004999980740669294, + "loss": 6.8907, + "mean_token_accuracy": 0.11748233065009117, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.1540666103363035, + "epoch": 0.8766652342071336, + "grad_norm": 1.203125, + "learning_rate": 0.0004999964527499823, + "loss": 6.948, + "mean_token_accuracy": 0.11102593019604683, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.12061505317688, + "epoch": 0.8809626128061883, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999943401307127, + "loss": 6.9196, + "mean_token_accuracy": 0.11150210499763488, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 7.122325229644775, + "epoch": 0.8852599914052428, + "grad_norm": 1.1953125, + "learning_rate": 0.0004999917362137337, + "loss": 6.8248, + "mean_token_accuracy": 0.12204656526446342, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 7.1019820213317875, + "epoch": 0.8895573700042974, + "grad_norm": 1.125, + "learning_rate": 0.0004999886410047312, + "loss": 6.815, + "mean_token_accuracy": 0.12252610921859741, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.131076002120972, + "epoch": 0.8938547486033519, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999850545104638, + "loss": 6.8854, + "mean_token_accuracy": 0.11829843446612358, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 7.105505514144897, + "epoch": 0.8981521272024066, + "grad_norm": 1.1640625, + "learning_rate": 0.0004999809767387633, + "loss": 6.8543, + "mean_token_accuracy": 0.11870720088481904, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 7.1863609790802006, + "epoch": 0.9024495058014611, + "grad_norm": 1.046875, + "learning_rate": 0.0004999764076985337, + "loss": 6.8726, + "mean_token_accuracy": 0.11925134509801864, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 7.012548351287842, + "epoch": 0.9067468844005157, + "grad_norm": 0.984375, + "learning_rate": 0.0004999713473997519, + "loss": 6.9285, + "mean_token_accuracy": 0.11801080331206322, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.097743034362793, + "epoch": 0.9110442629995703, + "grad_norm": 1.03125, + "learning_rate": 0.0004999657958534677, + "loss": 6.8618, + "mean_token_accuracy": 0.11624032855033875, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 7.046412801742553, + "epoch": 0.9153416415986249, + "grad_norm": 1.0078125, + "learning_rate": 0.0004999597530718034, + "loss": 6.8171, + "mean_token_accuracy": 0.12201576456427574, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 7.076975727081299, + "epoch": 0.9196390201976794, + "grad_norm": 1.0859375, + "learning_rate": 0.000499953219067954, + "loss": 6.829, + "mean_token_accuracy": 0.11706628054380416, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.0976677417755125, + "epoch": 0.923936398796734, + "grad_norm": 1.21875, + "learning_rate": 0.0004999461938561873, + "loss": 6.8518, + "mean_token_accuracy": 0.12058016434311866, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 7.072698259353638, + "epoch": 0.9282337773957886, + "grad_norm": 1.140625, + "learning_rate": 0.0004999386774518432, + "loss": 6.8318, + "mean_token_accuracy": 0.11745714917778968, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 7.01435604095459, + "epoch": 0.9325311559948432, + "grad_norm": 0.96875, + "learning_rate": 0.0004999306698713349, + "loss": 6.7357, + "mean_token_accuracy": 0.12115372568368912, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 7.059027576446534, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.8225, + "mean_token_accuracy": 0.12251915633678437, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.931616544723511, + "epoch": 0.9411259131929522, + "grad_norm": 1.109375, + "learning_rate": 0.0004999131812528393, + "loss": 6.8285, + "mean_token_accuracy": 0.11646857559680938, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.093084859848022, + "epoch": 0.9454232917920069, + "grad_norm": 0.93359375, + "learning_rate": 0.00049990370025304, + "loss": 6.8713, + "mean_token_accuracy": 0.11829434335231781, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 7.065115928649902, + "epoch": 0.9497206703910615, + "grad_norm": 1.1328125, + "learning_rate": 0.0004998937281534526, + "loss": 6.7715, + "mean_token_accuracy": 0.12478053271770477, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.09222378730774, + "epoch": 0.954018048990116, + "grad_norm": 1.109375, + "learning_rate": 0.0004998832649758521, + "loss": 6.847, + "mean_token_accuracy": 0.11962009072303773, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.995938444137574, + "epoch": 0.9583154275891707, + "grad_norm": 1.2265625, + "learning_rate": 0.0004998723107430862, + "loss": 6.8303, + "mean_token_accuracy": 0.1202974759042263, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 7.090177202224732, + "epoch": 0.9626128061882252, + "grad_norm": 1.203125, + "learning_rate": 0.0004998608654790741, + "loss": 6.7773, + "mean_token_accuracy": 0.11798964366316796, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.939780521392822, + "epoch": 0.9669101847872797, + "grad_norm": 1.1484375, + "learning_rate": 0.000499848929208808, + "loss": 6.7368, + "mean_token_accuracy": 0.12413144260644912, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.968171167373657, + "epoch": 0.9712075633863343, + "grad_norm": 1.1953125, + "learning_rate": 0.0004998365019583519, + "loss": 6.7792, + "mean_token_accuracy": 0.12741474211215972, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.055770301818848, + "epoch": 0.975504941985389, + "grad_norm": 1.15625, + "learning_rate": 0.0004998235837548417, + "loss": 6.8277, + "mean_token_accuracy": 0.12360714524984359, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 7.023305130004883, + "epoch": 0.9798023205844435, + "grad_norm": 1.0546875, + "learning_rate": 0.000499810174626486, + "loss": 6.8226, + "mean_token_accuracy": 0.12461819276213645, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.984486246109009, + "epoch": 0.984099699183498, + "grad_norm": 1.1640625, + "learning_rate": 0.0004997962746025646, + "loss": 6.7019, + "mean_token_accuracy": 0.13492951169610023, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 7.0700774669647215, + "epoch": 0.9883970777825526, + "grad_norm": 1.2734375, + "learning_rate": 0.0004997818837134298, + "loss": 6.849, + "mean_token_accuracy": 0.12504945918917656, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.870955991744995, + "epoch": 0.9926944563816072, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997670019905057, + "loss": 6.702, + "mean_token_accuracy": 0.1213143840432167, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 7.033004474639893, + "epoch": 0.9969918349806618, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997516294662876, + "loss": 6.7378, + "mean_token_accuracy": 0.12335852757096291, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.9259838528103295, + "epoch": 1.0008594757198108, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997357661743433, + "loss": 6.717, + "mean_token_accuracy": 0.128744567433993, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.995123481750488, + "epoch": 1.0051568543188656, + "grad_norm": 1.0546875, + "learning_rate": 0.0004997194121493118, + "loss": 6.5734, + "mean_token_accuracy": 0.12787071764469146, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.919755554199218, + "epoch": 1.0094542329179201, + "grad_norm": 1.1328125, + "learning_rate": 0.0004997025674269037, + "loss": 6.5449, + "mean_token_accuracy": 0.1354580543935299, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.861895275115967, + "epoch": 1.0137516115169747, + "grad_norm": 1.109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.6139, + "mean_token_accuracy": 0.12945729792118071, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.911503505706787, + "epoch": 1.0180489901160292, + "grad_norm": 0.97265625, + "learning_rate": 0.0004996674060381578, + "loss": 6.5633, + "mean_token_accuracy": 0.13328466117382048, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.907685422897339, + "epoch": 1.0223463687150838, + "grad_norm": 1.125, + "learning_rate": 0.0004996490894485985, + "loss": 6.6286, + "mean_token_accuracy": 0.12506390661001204, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.932943487167359, + "epoch": 1.0266437473141383, + "grad_norm": 1.078125, + "learning_rate": 0.0004996302823152193, + "loss": 6.566, + "mean_token_accuracy": 0.1292807199060917, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.858935070037842, + "epoch": 1.0309411259131929, + "grad_norm": 1.1015625, + "learning_rate": 0.0004996109846790873, + "loss": 6.5326, + "mean_token_accuracy": 0.1338893659412861, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.8632307052612305, + "epoch": 1.0352385045122476, + "grad_norm": 0.94921875, + "learning_rate": 0.0004995911965823412, + "loss": 6.5605, + "mean_token_accuracy": 0.13701220229268074, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.856139659881592, + "epoch": 1.0395358831113022, + "grad_norm": 1.140625, + "learning_rate": 0.0004995709180681899, + "loss": 6.5326, + "mean_token_accuracy": 0.140198864787817, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.900337648391724, + "epoch": 1.0438332617103567, + "grad_norm": 1.03125, + "learning_rate": 0.000499550149180914, + "loss": 6.5314, + "mean_token_accuracy": 0.13545763865113258, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.889223337173462, + "epoch": 1.0481306403094113, + "grad_norm": 1.140625, + "learning_rate": 0.0004995288899658641, + "loss": 6.5543, + "mean_token_accuracy": 0.13490064293146134, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.821092844009399, + "epoch": 1.0524280189084658, + "grad_norm": 1.0703125, + "learning_rate": 0.0004995071404694619, + "loss": 6.6698, + "mean_token_accuracy": 0.1264920301735401, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.998721551895142, + "epoch": 1.0567253975075204, + "grad_norm": 1.09375, + "learning_rate": 0.0004994849007391996, + "loss": 6.5995, + "mean_token_accuracy": 0.1271670438349247, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.76812891960144, + "epoch": 1.061022776106575, + "grad_norm": 1.078125, + "learning_rate": 0.0004994621708236401, + "loss": 6.5119, + "mean_token_accuracy": 0.131594667583704, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.892703628540039, + "epoch": 1.0653201547056295, + "grad_norm": 1.15625, + "learning_rate": 0.000499438950772416, + "loss": 6.5595, + "mean_token_accuracy": 0.13020255863666536, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.80609540939331, + "epoch": 1.0696175333046842, + "grad_norm": 0.984375, + "learning_rate": 0.0004994152406362311, + "loss": 6.4868, + "mean_token_accuracy": 0.1369902640581131, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.888293266296387, + "epoch": 1.0739149119037388, + "grad_norm": 1.2578125, + "learning_rate": 0.0004993910404668586, + "loss": 6.5419, + "mean_token_accuracy": 0.12804562970995903, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.807245254516602, + "epoch": 1.0782122905027933, + "grad_norm": 1.0234375, + "learning_rate": 0.000499366350317142, + "loss": 6.5445, + "mean_token_accuracy": 0.13409808352589608, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.824594402313233, + "epoch": 1.0825096691018479, + "grad_norm": 1.109375, + "learning_rate": 0.0004993411702409948, + "loss": 6.5053, + "mean_token_accuracy": 0.13172662556171416, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.823530054092407, + "epoch": 1.0868070477009024, + "grad_norm": 1.078125, + "learning_rate": 0.0004993155002934002, + "loss": 6.5131, + "mean_token_accuracy": 0.1332196593284607, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.906051445007324, + "epoch": 1.091104426299957, + "grad_norm": 1.546875, + "learning_rate": 0.0004992893405304111, + "loss": 6.6504, + "mean_token_accuracy": 0.13221597969532012, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.785560846328735, + "epoch": 1.0954018048990115, + "grad_norm": 1.109375, + "learning_rate": 0.00049926269100915, + "loss": 6.5522, + "mean_token_accuracy": 0.13710481822490692, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.9224625587463375, + "epoch": 1.0996991834980663, + "grad_norm": 1.078125, + "learning_rate": 0.0004992355517878087, + "loss": 6.6554, + "mean_token_accuracy": 0.12584567815065384, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.836811113357544, + "epoch": 1.1039965620971208, + "grad_norm": 1.109375, + "learning_rate": 0.0004992079229256484, + "loss": 6.5584, + "mean_token_accuracy": 0.12910671755671502, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.704578638076782, + "epoch": 1.1082939406961754, + "grad_norm": 1.015625, + "learning_rate": 0.0004991798044829996, + "loss": 6.5024, + "mean_token_accuracy": 0.12955976650118828, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.910696506500244, + "epoch": 1.11259131929523, + "grad_norm": 1.0625, + "learning_rate": 0.0004991511965212618, + "loss": 6.5914, + "mean_token_accuracy": 0.13309080600738527, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.757680082321167, + "epoch": 1.1168886978942845, + "grad_norm": 0.98828125, + "learning_rate": 0.0004991220991029032, + "loss": 6.5917, + "mean_token_accuracy": 0.12701491191983222, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.866291856765747, + "epoch": 1.121186076493339, + "grad_norm": 1.2265625, + "learning_rate": 0.000499092512291461, + "loss": 6.5742, + "mean_token_accuracy": 0.1293620027601719, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.836187791824341, + "epoch": 1.1254834550923936, + "grad_norm": 1.0625, + "learning_rate": 0.000499062436151541, + "loss": 6.5736, + "mean_token_accuracy": 0.1331700198352337, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.893719673156738, + "epoch": 1.129780833691448, + "grad_norm": 1.09375, + "learning_rate": 0.0004990318707488173, + "loss": 6.6178, + "mean_token_accuracy": 0.1281808391213417, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.797501945495606, + "epoch": 1.1340782122905029, + "grad_norm": 1.15625, + "learning_rate": 0.0004990008161500327, + "loss": 6.5368, + "mean_token_accuracy": 0.1343330167233944, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.829013967514038, + "epoch": 1.1383755908895574, + "grad_norm": 1.1640625, + "learning_rate": 0.000498969272422998, + "loss": 6.532, + "mean_token_accuracy": 0.1358281135559082, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.755909633636475, + "epoch": 1.142672969488612, + "grad_norm": 1.0625, + "learning_rate": 0.0004989372396365921, + "loss": 6.4518, + "mean_token_accuracy": 0.13816773220896722, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.890218067169189, + "epoch": 1.1469703480876665, + "grad_norm": 1.078125, + "learning_rate": 0.0004989047178607618, + "loss": 6.547, + "mean_token_accuracy": 0.1365761749446392, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.804721832275391, + "epoch": 1.151267726686721, + "grad_norm": 1.0625, + "learning_rate": 0.0004988717071665215, + "loss": 6.5574, + "mean_token_accuracy": 0.1326664350926876, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.721598196029663, + "epoch": 1.1555651052857756, + "grad_norm": 0.953125, + "learning_rate": 0.0004988382076259537, + "loss": 6.4609, + "mean_token_accuracy": 0.138286504894495, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.781888771057129, + "epoch": 1.1598624838848304, + "grad_norm": 1.03125, + "learning_rate": 0.0004988042193122077, + "loss": 6.4618, + "mean_token_accuracy": 0.13687749654054643, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.851740026473999, + "epoch": 1.164159862483885, + "grad_norm": 1.1171875, + "learning_rate": 0.0004987697422995005, + "loss": 6.4922, + "mean_token_accuracy": 0.13173471242189408, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.713117170333862, + "epoch": 1.1684572410829395, + "grad_norm": 1.0390625, + "learning_rate": 0.0004987347766631161, + "loss": 6.548, + "mean_token_accuracy": 0.1326726868748665, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.791418552398682, + "epoch": 1.172754619681994, + "grad_norm": 1.015625, + "learning_rate": 0.0004986993224794055, + "loss": 6.5917, + "mean_token_accuracy": 0.12623094841837884, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.79559736251831, + "epoch": 1.1770519982810486, + "grad_norm": 1.09375, + "learning_rate": 0.0004986633798257865, + "loss": 6.4975, + "mean_token_accuracy": 0.1346569150686264, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.720452213287354, + "epoch": 1.181349376880103, + "grad_norm": 1.0859375, + "learning_rate": 0.0004986269487807434, + "loss": 6.5027, + "mean_token_accuracy": 0.13570783659815788, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.770303201675415, + "epoch": 1.1856467554791577, + "grad_norm": 1.03125, + "learning_rate": 0.000498590029423827, + "loss": 6.5757, + "mean_token_accuracy": 0.1362602196633816, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.838917875289917, + "epoch": 1.1899441340782122, + "grad_norm": 1.0703125, + "learning_rate": 0.0004985526218356546, + "loss": 6.5512, + "mean_token_accuracy": 0.1287482999265194, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.7279455184936525, + "epoch": 1.1942415126772667, + "grad_norm": 1.078125, + "learning_rate": 0.0004985147260979093, + "loss": 6.4843, + "mean_token_accuracy": 0.14064208790659904, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.755608987808228, + "epoch": 1.1985388912763215, + "grad_norm": 1.125, + "learning_rate": 0.0004984763422933402, + "loss": 6.4984, + "mean_token_accuracy": 0.13640860766172408, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.755157899856568, + "epoch": 1.202836269875376, + "grad_norm": 0.98828125, + "learning_rate": 0.0004984374705057623, + "loss": 6.5168, + "mean_token_accuracy": 0.13545396104454993, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.818363904953003, + "epoch": 1.2071336484744306, + "grad_norm": 1.1484375, + "learning_rate": 0.0004983981108200561, + "loss": 6.5065, + "mean_token_accuracy": 0.1336505174636841, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.692107009887695, + "epoch": 1.2114310270734852, + "grad_norm": 1.1640625, + "learning_rate": 0.0004983582633221672, + "loss": 6.5062, + "mean_token_accuracy": 0.1383553020656109, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.83019061088562, + "epoch": 1.2157284056725397, + "grad_norm": 0.98046875, + "learning_rate": 0.0004983179280991068, + "loss": 6.6534, + "mean_token_accuracy": 0.12812817469239235, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.796614646911621, + "epoch": 1.2200257842715942, + "grad_norm": 1.0703125, + "learning_rate": 0.0004982771052389508, + "loss": 6.4877, + "mean_token_accuracy": 0.1379811257123947, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.79015884399414, + "epoch": 1.224323162870649, + "grad_norm": 1.0625, + "learning_rate": 0.0004982357948308401, + "loss": 6.59, + "mean_token_accuracy": 0.12893555760383607, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.829104900360107, + "epoch": 1.2286205414697036, + "grad_norm": 1.0625, + "learning_rate": 0.0004981939969649799, + "loss": 6.4392, + "mean_token_accuracy": 0.13909578174352646, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.743937397003174, + "epoch": 1.232917920068758, + "grad_norm": 1.140625, + "learning_rate": 0.0004981517117326404, + "loss": 6.5519, + "mean_token_accuracy": 0.13750746101140976, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.769179630279541, + "epoch": 1.2372152986678127, + "grad_norm": 1.0, + "learning_rate": 0.0004981089392261553, + "loss": 6.4703, + "mean_token_accuracy": 0.14099505171179771, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.69663987159729, + "epoch": 1.2415126772668672, + "grad_norm": 0.94921875, + "learning_rate": 0.000498065679538923, + "loss": 6.5504, + "mean_token_accuracy": 0.13748323917388916, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.7704236030578615, + "epoch": 1.2458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.0004980219327654049, + "loss": 6.4502, + "mean_token_accuracy": 0.1409187763929367, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.728482866287232, + "epoch": 1.2501074344649763, + "grad_norm": 1.109375, + "learning_rate": 0.000497977699001127, + "loss": 6.4341, + "mean_token_accuracy": 0.1414632149040699, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.760922050476074, + "epoch": 1.2544048130640308, + "grad_norm": 1.0390625, + "learning_rate": 0.0004979329783426778, + "loss": 6.4682, + "mean_token_accuracy": 0.13974226340651513, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.739649820327759, + "epoch": 1.2587021916630854, + "grad_norm": 0.99609375, + "learning_rate": 0.0004978877708877094, + "loss": 6.5202, + "mean_token_accuracy": 0.1345860943198204, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.732415056228637, + "epoch": 1.2629995702621402, + "grad_norm": 1.015625, + "learning_rate": 0.0004978420767349368, + "loss": 6.4395, + "mean_token_accuracy": 0.1351854085922241, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.715655040740967, + "epoch": 1.2672969488611947, + "grad_norm": 0.95703125, + "learning_rate": 0.0004977958959841379, + "loss": 6.5146, + "mean_token_accuracy": 0.1359639957547188, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.778389596939087, + "epoch": 1.2715943274602493, + "grad_norm": 1.09375, + "learning_rate": 0.000497749228736153, + "loss": 6.4591, + "mean_token_accuracy": 0.13977851048111917, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.708815574645996, + "epoch": 1.2758917060593038, + "grad_norm": 1.140625, + "learning_rate": 0.0004977020750928845, + "loss": 6.5176, + "mean_token_accuracy": 0.14020123705267906, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.7224524974822994, + "epoch": 1.2801890846583583, + "grad_norm": 1.015625, + "learning_rate": 0.0004976544351572973, + "loss": 6.4449, + "mean_token_accuracy": 0.14301179200410843, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.649525260925293, + "epoch": 1.2844864632574131, + "grad_norm": 1.0390625, + "learning_rate": 0.0004976063090334179, + "loss": 6.4976, + "mean_token_accuracy": 0.13876865953207015, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.740707063674927, + "epoch": 1.2887838418564677, + "grad_norm": 1.0546875, + "learning_rate": 0.0004975576968263346, + "loss": 6.502, + "mean_token_accuracy": 0.12958571687340736, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.470501623712145, + "eval_loss": 6.560330390930176, + "eval_mean_token_accuracy": 0.13803270239349422, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0451, + "eval_samples_per_second": 1735.35, + "eval_steps_per_second": 217.102, + "step": 1500 + }, + { + "entropy": 6.670271635055542, + "epoch": 1.2930812204555222, + "grad_norm": 0.921875, + "learning_rate": 0.000497508598642197, + "loss": 6.4776, + "mean_token_accuracy": 0.1379353679716587, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.75262417793274, + "epoch": 1.2973785990545768, + "grad_norm": 1.015625, + "learning_rate": 0.000497459014588216, + "loss": 6.5328, + "mean_token_accuracy": 0.13872059807181358, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.689033460617066, + "epoch": 1.3016759776536313, + "grad_norm": 1.03125, + "learning_rate": 0.000497408944772663, + "loss": 6.4493, + "mean_token_accuracy": 0.13728251829743385, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.651050281524658, + "epoch": 1.3059733562526858, + "grad_norm": 1.015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.4194, + "mean_token_accuracy": 0.1359269514679909, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.832587623596192, + "epoch": 1.3102707348517404, + "grad_norm": 1.0625, + "learning_rate": 0.0004973073482952321, + "loss": 6.4476, + "mean_token_accuracy": 0.1389494240283966, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.610323524475097, + "epoch": 1.314568113450795, + "grad_norm": 1.2578125, + "learning_rate": 0.0004972558218552004, + "loss": 6.4865, + "mean_token_accuracy": 0.1345442496240139, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.781571102142334, + "epoch": 1.3188654920498495, + "grad_norm": 1.0703125, + "learning_rate": 0.0004972038100972885, + "loss": 6.511, + "mean_token_accuracy": 0.13351112902164458, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.640726566314697, + "epoch": 1.323162870648904, + "grad_norm": 1.1953125, + "learning_rate": 0.0004971513131350697, + "loss": 6.4315, + "mean_token_accuracy": 0.13331406638026239, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.637244319915771, + "epoch": 1.3274602492479588, + "grad_norm": 1.125, + "learning_rate": 0.0004970983310831759, + "loss": 6.4216, + "mean_token_accuracy": 0.13528204038739206, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.73633337020874, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.554, + "mean_token_accuracy": 0.13508356660604476, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.68259482383728, + "epoch": 1.336055006446068, + "grad_norm": 0.90625, + "learning_rate": 0.0004969909121741895, + "loss": 6.362, + "mean_token_accuracy": 0.14365303963422776, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.660860872268676, + "epoch": 1.3403523850451224, + "grad_norm": 1.03125, + "learning_rate": 0.0004969364755516569, + "loss": 6.4237, + "mean_token_accuracy": 0.13722610473632812, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.719718647003174, + "epoch": 1.344649763644177, + "grad_norm": 1.0625, + "learning_rate": 0.0004968815543085689, + "loss": 6.4716, + "mean_token_accuracy": 0.1409387357532978, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.677382087707519, + "epoch": 1.3489471422432318, + "grad_norm": 1.0234375, + "learning_rate": 0.0004968261485648516, + "loss": 6.4702, + "mean_token_accuracy": 0.1383634626865387, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.7003734588623045, + "epoch": 1.3532445208422863, + "grad_norm": 1.0, + "learning_rate": 0.000496770258441489, + "loss": 6.4578, + "mean_token_accuracy": 0.14429745227098464, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.630741024017334, + "epoch": 1.3575418994413408, + "grad_norm": 1.046875, + "learning_rate": 0.0004967138840605228, + "loss": 6.4274, + "mean_token_accuracy": 0.14213711023330688, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.580131101608276, + "epoch": 1.3618392780403954, + "grad_norm": 1.0390625, + "learning_rate": 0.000496657025545052, + "loss": 6.3333, + "mean_token_accuracy": 0.14458294957876205, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.652856779098511, + "epoch": 1.36613665663945, + "grad_norm": 1.109375, + "learning_rate": 0.000496599683019233, + "loss": 6.4385, + "mean_token_accuracy": 0.1378958448767662, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.743864488601685, + "epoch": 1.3704340352385045, + "grad_norm": 1.0625, + "learning_rate": 0.000496541856608279, + "loss": 6.4138, + "mean_token_accuracy": 0.13684486821293831, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.543468856811524, + "epoch": 1.374731413837559, + "grad_norm": 0.99609375, + "learning_rate": 0.0004964835464384595, + "loss": 6.3442, + "mean_token_accuracy": 0.14644223153591157, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.6516578674316404, + "epoch": 1.3790287924366136, + "grad_norm": 1.0859375, + "learning_rate": 0.000496424752637101, + "loss": 6.3765, + "mean_token_accuracy": 0.14313278645277022, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.6023597240448, + "epoch": 1.3833261710356681, + "grad_norm": 1.046875, + "learning_rate": 0.0004963654753325853, + "loss": 6.3608, + "mean_token_accuracy": 0.142365200817585, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.675694608688355, + "epoch": 1.387623549634723, + "grad_norm": 0.98828125, + "learning_rate": 0.0004963057146543505, + "loss": 6.5232, + "mean_token_accuracy": 0.13410560339689254, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.640337657928467, + "epoch": 1.3919209282337774, + "grad_norm": 0.96875, + "learning_rate": 0.00049624547073289, + "loss": 6.4341, + "mean_token_accuracy": 0.1372315354645252, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.644095182418823, + "epoch": 1.396218306832832, + "grad_norm": 1.1015625, + "learning_rate": 0.0004961847436997526, + "loss": 6.3392, + "mean_token_accuracy": 0.1437459670007229, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.544746780395508, + "epoch": 1.4005156854318865, + "grad_norm": 1.046875, + "learning_rate": 0.0004961235336875416, + "loss": 6.3337, + "mean_token_accuracy": 0.14818646609783173, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.590663099288941, + "epoch": 1.404813064030941, + "grad_norm": 1.1171875, + "learning_rate": 0.0004960618408299154, + "loss": 6.4913, + "mean_token_accuracy": 0.13292545676231385, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.676125764846802, + "epoch": 1.4091104426299956, + "grad_norm": 0.98828125, + "learning_rate": 0.0004959996652615865, + "loss": 6.3291, + "mean_token_accuracy": 0.1426067478954792, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.682071399688721, + "epoch": 1.4134078212290504, + "grad_norm": 1.0234375, + "learning_rate": 0.0004959370071183216, + "loss": 6.3941, + "mean_token_accuracy": 0.1417133815586567, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.630775785446167, + "epoch": 1.417705199828105, + "grad_norm": 1.0390625, + "learning_rate": 0.0004958738665369407, + "loss": 6.5253, + "mean_token_accuracy": 0.12776071205735207, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.679714679718018, + "epoch": 1.4220025784271595, + "grad_norm": 1.0078125, + "learning_rate": 0.0004958102436553179, + "loss": 6.4334, + "mean_token_accuracy": 0.1367899753153324, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.633715724945068, + "epoch": 1.426299957026214, + "grad_norm": 0.98046875, + "learning_rate": 0.00049574613861238, + "loss": 6.428, + "mean_token_accuracy": 0.13732998967170715, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.719851779937744, + "epoch": 1.4305973356252686, + "grad_norm": 0.9921875, + "learning_rate": 0.0004956815515481069, + "loss": 6.4586, + "mean_token_accuracy": 0.14100154265761375, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.548164558410645, + "epoch": 1.4348947142243231, + "grad_norm": 1.0625, + "learning_rate": 0.0004956164826035309, + "loss": 6.3723, + "mean_token_accuracy": 0.1403822347521782, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.590739965438843, + "epoch": 1.4391920928233777, + "grad_norm": 1.078125, + "learning_rate": 0.0004955509319207363, + "loss": 6.3917, + "mean_token_accuracy": 0.139241461455822, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.564586973190307, + "epoch": 1.4434894714224322, + "grad_norm": 0.91796875, + "learning_rate": 0.0004954848996428601, + "loss": 6.37, + "mean_token_accuracy": 0.1485365867614746, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.688973379135132, + "epoch": 1.4477868500214868, + "grad_norm": 1.21875, + "learning_rate": 0.00049541838591409, + "loss": 6.4727, + "mean_token_accuracy": 0.13771305233240128, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.601505422592163, + "epoch": 1.4520842286205415, + "grad_norm": 1.0234375, + "learning_rate": 0.0004953513908796657, + "loss": 6.3754, + "mean_token_accuracy": 0.142202128469944, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.688344573974609, + "epoch": 1.456381607219596, + "grad_norm": 1.1484375, + "learning_rate": 0.0004952839146858773, + "loss": 6.4125, + "mean_token_accuracy": 0.14289402961730957, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.557283878326416, + "epoch": 1.4606789858186506, + "grad_norm": 1.1171875, + "learning_rate": 0.0004952159574800658, + "loss": 6.4149, + "mean_token_accuracy": 0.1368069365620613, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.6616050720214846, + "epoch": 1.4649763644177052, + "grad_norm": 1.03125, + "learning_rate": 0.0004951475194106229, + "loss": 6.3624, + "mean_token_accuracy": 0.14598480761051177, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.564044332504272, + "epoch": 1.4692737430167597, + "grad_norm": 0.9765625, + "learning_rate": 0.0004950786006269898, + "loss": 6.4712, + "mean_token_accuracy": 0.13445298001170158, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.630729532241821, + "epoch": 1.4735711216158143, + "grad_norm": 1.109375, + "learning_rate": 0.0004950092012796576, + "loss": 6.2883, + "mean_token_accuracy": 0.14547964110970496, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.57949857711792, + "epoch": 1.477868500214869, + "grad_norm": 1.0859375, + "learning_rate": 0.0004949393215201666, + "loss": 6.3576, + "mean_token_accuracy": 0.14195869863033295, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.621220111846924, + "epoch": 1.4821658788139236, + "grad_norm": 0.9453125, + "learning_rate": 0.0004948689615011065, + "loss": 6.4303, + "mean_token_accuracy": 0.13502154499292374, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.622284650802612, + "epoch": 1.4864632574129781, + "grad_norm": 0.95703125, + "learning_rate": 0.0004947981213761154, + "loss": 6.3626, + "mean_token_accuracy": 0.14655405953526496, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.566265106201172, + "epoch": 1.4907606360120327, + "grad_norm": 0.99609375, + "learning_rate": 0.0004947268012998797, + "loss": 6.314, + "mean_token_accuracy": 0.15282158702611923, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.555867433547974, + "epoch": 1.4950580146110872, + "grad_norm": 0.9375, + "learning_rate": 0.000494655001428134, + "loss": 6.3163, + "mean_token_accuracy": 0.14129877462983131, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.610077142715454, + "epoch": 1.4993553932101418, + "grad_norm": 1.0859375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3806, + "mean_token_accuracy": 0.1494217187166214, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.497924327850342, + "epoch": 1.5036527718091963, + "grad_norm": 1.015625, + "learning_rate": 0.0004945099629262888, + "loss": 6.365, + "mean_token_accuracy": 0.14257355630397797, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.763267278671265, + "epoch": 1.5079501504082509, + "grad_norm": 1.0078125, + "learning_rate": 0.0004944367246128954, + "loss": 6.4414, + "mean_token_accuracy": 0.13902869820594788, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.499178218841553, + "epoch": 1.5122475290073054, + "grad_norm": 0.98046875, + "learning_rate": 0.0004943630071374036, + "loss": 6.2842, + "mean_token_accuracy": 0.15046660900115966, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.597637414932251, + "epoch": 1.51654490760636, + "grad_norm": 0.95703125, + "learning_rate": 0.0004942888106607828, + "loss": 6.3408, + "mean_token_accuracy": 0.14210622310638427, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.629096126556396, + "epoch": 1.5208422862054147, + "grad_norm": 1.0, + "learning_rate": 0.0004942141353450486, + "loss": 6.3319, + "mean_token_accuracy": 0.14792249947786332, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.488542318344116, + "epoch": 1.5251396648044693, + "grad_norm": 0.97265625, + "learning_rate": 0.0004941389813532619, + "loss": 6.254, + "mean_token_accuracy": 0.15323352664709092, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.508915090560913, + "epoch": 1.5294370434035238, + "grad_norm": 0.97265625, + "learning_rate": 0.000494063348849529, + "loss": 6.3006, + "mean_token_accuracy": 0.15017192512750627, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.618602657318116, + "epoch": 1.5337344220025786, + "grad_norm": 0.9765625, + "learning_rate": 0.0004939872379990011, + "loss": 6.4568, + "mean_token_accuracy": 0.1389564484357834, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.68247127532959, + "epoch": 1.5380318006016331, + "grad_norm": 1.125, + "learning_rate": 0.0004939106489678739, + "loss": 6.3675, + "mean_token_accuracy": 0.1462523892521858, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.5040504932403564, + "epoch": 1.5423291792006877, + "grad_norm": 0.97265625, + "learning_rate": 0.000493833581923387, + "loss": 6.3162, + "mean_token_accuracy": 0.14888131469488144, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.610679483413696, + "epoch": 1.5466265577997422, + "grad_norm": 0.97265625, + "learning_rate": 0.0004937560370338244, + "loss": 6.4592, + "mean_token_accuracy": 0.13561476543545722, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.649268531799317, + "epoch": 1.5509239363987968, + "grad_norm": 1.0078125, + "learning_rate": 0.000493678014468513, + "loss": 6.3782, + "mean_token_accuracy": 0.15145477950572966, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.525541353225708, + "epoch": 1.5552213149978513, + "grad_norm": 0.8984375, + "learning_rate": 0.0004935995143978227, + "loss": 6.3828, + "mean_token_accuracy": 0.14420599341392518, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.548158836364746, + "epoch": 1.5595186935969059, + "grad_norm": 1.0859375, + "learning_rate": 0.0004935205369931664, + "loss": 6.2838, + "mean_token_accuracy": 0.1488450989127159, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.629633808135987, + "epoch": 1.5638160721959604, + "grad_norm": 0.9296875, + "learning_rate": 0.0004934410824269992, + "loss": 6.307, + "mean_token_accuracy": 0.1468965768814087, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.505390453338623, + "epoch": 1.568113450795015, + "grad_norm": 0.99609375, + "learning_rate": 0.0004933611508728182, + "loss": 6.277, + "mean_token_accuracy": 0.15054729878902434, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.567506504058838, + "epoch": 1.5724108293940695, + "grad_norm": 0.96484375, + "learning_rate": 0.000493280742505162, + "loss": 6.3093, + "mean_token_accuracy": 0.1449831858277321, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.486201763153076, + "epoch": 1.576708207993124, + "grad_norm": 1.078125, + "learning_rate": 0.0004931998574996102, + "loss": 6.2364, + "mean_token_accuracy": 0.14821842014789582, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.458436775207519, + "epoch": 1.5810055865921788, + "grad_norm": 1.078125, + "learning_rate": 0.0004931184960327832, + "loss": 6.243, + "mean_token_accuracy": 0.15286262780427934, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.5017963409423825, + "epoch": 1.5853029651912334, + "grad_norm": 1.640625, + "learning_rate": 0.0004930366582823421, + "loss": 6.2846, + "mean_token_accuracy": 0.1460932895541191, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.565137147903442, + "epoch": 1.589600343790288, + "grad_norm": 1.0625, + "learning_rate": 0.0004929543444269879, + "loss": 6.3357, + "mean_token_accuracy": 0.14929510578513144, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.485863208770752, + "epoch": 1.5938977223893425, + "grad_norm": 1.0703125, + "learning_rate": 0.000492871554646461, + "loss": 6.3948, + "mean_token_accuracy": 0.14030372574925423, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.554273700714111, + "epoch": 1.5981951009883972, + "grad_norm": 1.0, + "learning_rate": 0.0004927882891215413, + "loss": 6.306, + "mean_token_accuracy": 0.14827967956662177, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.592674922943115, + "epoch": 1.6024924795874518, + "grad_norm": 1.1015625, + "learning_rate": 0.0004927045480340475, + "loss": 6.3969, + "mean_token_accuracy": 0.1377456396818161, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.534068393707275, + "epoch": 1.6067898581865063, + "grad_norm": 0.9609375, + "learning_rate": 0.0004926203315668363, + "loss": 6.3089, + "mean_token_accuracy": 0.14855122640728952, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.51072096824646, + "epoch": 1.6110872367855609, + "grad_norm": 0.98046875, + "learning_rate": 0.0004925356399038032, + "loss": 6.2784, + "mean_token_accuracy": 0.1444276086986065, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.546713066101074, + "epoch": 1.6153846153846154, + "grad_norm": 1.046875, + "learning_rate": 0.0004924504732298808, + "loss": 6.25, + "mean_token_accuracy": 0.15252432748675346, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.566928911209106, + "epoch": 1.61968199398367, + "grad_norm": 1.0703125, + "learning_rate": 0.0004923648317310391, + "loss": 6.3645, + "mean_token_accuracy": 0.14241925179958342, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.581201171875, + "epoch": 1.6239793725827245, + "grad_norm": 0.9609375, + "learning_rate": 0.0004922787155942849, + "loss": 6.3913, + "mean_token_accuracy": 0.13747936934232713, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.493123197555542, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.3081, + "mean_token_accuracy": 0.1506146050989628, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.519382381439209, + "epoch": 1.6325741297808336, + "grad_norm": 1.0546875, + "learning_rate": 0.0004921050601602475, + "loss": 6.358, + "mean_token_accuracy": 0.14751976430416108, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.561795377731324, + "epoch": 1.6368715083798882, + "grad_norm": 1.0390625, + "learning_rate": 0.0004920175212421587, + "loss": 6.2876, + "mean_token_accuracy": 0.1480035036802292, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.427498245239258, + "epoch": 1.6411688869789427, + "grad_norm": 0.98828125, + "learning_rate": 0.0004919295084445445, + "loss": 6.1795, + "mean_token_accuracy": 0.15354781299829484, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.453372526168823, + "epoch": 1.6454662655779975, + "grad_norm": 0.9375, + "learning_rate": 0.0004918410219595899, + "loss": 6.262, + "mean_token_accuracy": 0.1537986733019352, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.673685932159424, + "epoch": 1.649763644177052, + "grad_norm": 0.9375, + "learning_rate": 0.000491752061980514, + "loss": 6.2464, + "mean_token_accuracy": 0.15058573931455613, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.364662742614746, + "epoch": 1.6540610227761066, + "grad_norm": 1.0546875, + "learning_rate": 0.0004916626287015697, + "loss": 6.2797, + "mean_token_accuracy": 0.14565936028957366, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.596463584899903, + "epoch": 1.658358401375161, + "grad_norm": 0.96484375, + "learning_rate": 0.0004915727223180436, + "loss": 6.2889, + "mean_token_accuracy": 0.14369736313819886, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.553056049346924, + "epoch": 1.6626557799742159, + "grad_norm": 0.95703125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3913, + "mean_token_accuracy": 0.13537019938230516, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.495272874832153, + "epoch": 1.6669531585732704, + "grad_norm": 1.1171875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2558, + "mean_token_accuracy": 0.1485748916864395, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.465020227432251, + "epoch": 1.671250537172325, + "grad_norm": 1.015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2614, + "mean_token_accuracy": 0.1493809461593628, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.480109977722168, + "epoch": 1.6755479157713795, + "grad_norm": 1.1953125, + "learning_rate": 0.0004912083696800008, + "loss": 6.3061, + "mean_token_accuracy": 0.14220771193504333, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.481950473785401, + "epoch": 1.679845294370434, + "grad_norm": 1.046875, + "learning_rate": 0.0004911161007390063, + "loss": 6.214, + "mean_token_accuracy": 0.1464408040046692, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.433442115783691, + "epoch": 1.6841426729694886, + "grad_norm": 1.125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2733, + "mean_token_accuracy": 0.14608966633677484, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.5319255828857425, + "epoch": 1.6884400515685432, + "grad_norm": 1.0078125, + "learning_rate": 0.0004909301473259769, + "loss": 6.2782, + "mean_token_accuracy": 0.14630958884954454, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.498413991928101, + "epoch": 1.6927374301675977, + "grad_norm": 1.03125, + "learning_rate": 0.0004908364632599899, + "loss": 6.2466, + "mean_token_accuracy": 0.14925297126173973, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.409846687316895, + "epoch": 1.6970348087666522, + "grad_norm": 1.0078125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2432, + "mean_token_accuracy": 0.14702003747224807, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.491791534423828, + "epoch": 1.7013321873657068, + "grad_norm": 0.96484375, + "learning_rate": 0.0004906476814319134, + "loss": 6.2665, + "mean_token_accuracy": 0.1481113463640213, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.418525266647339, + "epoch": 1.7056295659647613, + "grad_norm": 0.859375, + "learning_rate": 0.0004905525840820481, + "loss": 6.2822, + "mean_token_accuracy": 0.14321094751358032, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.584860706329346, + "epoch": 1.709926944563816, + "grad_norm": 0.88671875, + "learning_rate": 0.0004904570160514948, + "loss": 6.318, + "mean_token_accuracy": 0.14112781435251237, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.488425922393799, + "epoch": 1.7142243231628707, + "grad_norm": 1.078125, + "learning_rate": 0.0004903609775489358, + "loss": 6.2898, + "mean_token_accuracy": 0.1483103021979332, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.527116823196411, + "epoch": 1.7185217017619252, + "grad_norm": 0.9140625, + "learning_rate": 0.0004902644687840809, + "loss": 6.2518, + "mean_token_accuracy": 0.14549941420555115, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.19347925014324, + "eval_loss": 6.329723358154297, + "eval_mean_token_accuracy": 0.1496910023091881, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.05, + "eval_samples_per_second": 1731.192, + "eval_steps_per_second": 216.582, + "step": 2000 + }, + { + "entropy": 6.444890356063842, + "epoch": 1.7228190803609797, + "grad_norm": 1.078125, + "learning_rate": 0.0004901674899676667, + "loss": 6.2616, + "mean_token_accuracy": 0.1490693584084511, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.4421497821807865, + "epoch": 1.7271164589600345, + "grad_norm": 0.99609375, + "learning_rate": 0.0004900700413114561, + "loss": 6.1411, + "mean_token_accuracy": 0.1515228644013405, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.438943338394165, + "epoch": 1.731413837559089, + "grad_norm": 0.98046875, + "learning_rate": 0.000489972123028238, + "loss": 6.2278, + "mean_token_accuracy": 0.1497970812022686, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.477704477310181, + "epoch": 1.7357112161581436, + "grad_norm": 1.0078125, + "learning_rate": 0.0004898737353318268, + "loss": 6.1731, + "mean_token_accuracy": 0.1531771868467331, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.417043018341064, + "epoch": 1.7400085947571982, + "grad_norm": 1.1171875, + "learning_rate": 0.000489774878437062, + "loss": 6.3189, + "mean_token_accuracy": 0.1491183653473854, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.496932172775269, + "epoch": 1.7443059733562527, + "grad_norm": 1.0078125, + "learning_rate": 0.0004896755525598074, + "loss": 6.137, + "mean_token_accuracy": 0.15091845840215684, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.424662256240845, + "epoch": 1.7486033519553073, + "grad_norm": 1.0625, + "learning_rate": 0.0004895757579169511, + "loss": 6.2482, + "mean_token_accuracy": 0.14746748507022858, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.576484441757202, + "epoch": 1.7529007305543618, + "grad_norm": 0.94921875, + "learning_rate": 0.0004894754947264047, + "loss": 6.2665, + "mean_token_accuracy": 0.14906733110547066, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.423267459869384, + "epoch": 1.7571981091534163, + "grad_norm": 1.0546875, + "learning_rate": 0.000489374763207103, + "loss": 6.3263, + "mean_token_accuracy": 0.14524614065885544, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.511725521087646, + "epoch": 1.761495487752471, + "grad_norm": 1.078125, + "learning_rate": 0.0004892735635790033, + "loss": 6.1332, + "mean_token_accuracy": 0.1547706514596939, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.357218599319458, + "epoch": 1.7657928663515254, + "grad_norm": 0.91796875, + "learning_rate": 0.000489171896063085, + "loss": 6.1786, + "mean_token_accuracy": 0.15807082131505013, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.503004789352417, + "epoch": 1.77009024495058, + "grad_norm": 1.0234375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2892, + "mean_token_accuracy": 0.14620151743292809, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.575605297088623, + "epoch": 1.7743876235496348, + "grad_norm": 1.015625, + "learning_rate": 0.0004889671582568193, + "loss": 6.3394, + "mean_token_accuracy": 0.14444702491164207, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.386636257171631, + "epoch": 1.7786850021486893, + "grad_norm": 1.1015625, + "learning_rate": 0.0004888640884135374, + "loss": 6.2572, + "mean_token_accuracy": 0.14602783024311067, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.443797779083252, + "epoch": 1.7829823807477438, + "grad_norm": 1.1796875, + "learning_rate": 0.0004887605515765671, + "loss": 6.1999, + "mean_token_accuracy": 0.1500324159860611, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.453762483596802, + "epoch": 1.7872797593467986, + "grad_norm": 1.046875, + "learning_rate": 0.0004886565479719914, + "loss": 6.2371, + "mean_token_accuracy": 0.14520688354969025, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.546750164031982, + "epoch": 1.7915771379458532, + "grad_norm": 1.1015625, + "learning_rate": 0.0004885520778269128, + "loss": 6.2633, + "mean_token_accuracy": 0.1508520394563675, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.421859884262085, + "epoch": 1.7958745165449077, + "grad_norm": 1.09375, + "learning_rate": 0.0004884471413694523, + "loss": 6.2927, + "mean_token_accuracy": 0.14654150381684303, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.475854921340942, + "epoch": 1.8001718951439623, + "grad_norm": 0.921875, + "learning_rate": 0.0004883417388287491, + "loss": 6.2152, + "mean_token_accuracy": 0.14346302896738053, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.390176630020141, + "epoch": 1.8044692737430168, + "grad_norm": 1.0859375, + "learning_rate": 0.0004882358704349603, + "loss": 6.3309, + "mean_token_accuracy": 0.15342760533094407, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.5035735130310055, + "epoch": 1.8087666523420713, + "grad_norm": 1.1171875, + "learning_rate": 0.0004881295364192601, + "loss": 6.2208, + "mean_token_accuracy": 0.15399999171495438, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.512830305099487, + "epoch": 1.813064030941126, + "grad_norm": 0.9609375, + "learning_rate": 0.0004880227370138394, + "loss": 6.2733, + "mean_token_accuracy": 0.141741144657135, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.412053823471069, + "epoch": 1.8173614095401804, + "grad_norm": 0.890625, + "learning_rate": 0.0004879154724519057, + "loss": 6.1883, + "mean_token_accuracy": 0.15187056958675385, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.525836372375489, + "epoch": 1.821658788139235, + "grad_norm": 1.015625, + "learning_rate": 0.0004878077429676816, + "loss": 6.3298, + "mean_token_accuracy": 0.14646431654691697, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.404772138595581, + "epoch": 1.8259561667382895, + "grad_norm": 0.97265625, + "learning_rate": 0.0004876995487964054, + "loss": 6.2232, + "mean_token_accuracy": 0.14396868348121644, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.504109525680542, + "epoch": 1.830253545337344, + "grad_norm": 0.953125, + "learning_rate": 0.00048759089017432996, + "loss": 6.3474, + "mean_token_accuracy": 0.1436037801206112, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.516725015640259, + "epoch": 1.8345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004874817673387222, + "loss": 6.2488, + "mean_token_accuracy": 0.150234591960907, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.40357723236084, + "epoch": 1.8388483025354534, + "grad_norm": 0.9453125, + "learning_rate": 0.00048737218052786275, + "loss": 6.3306, + "mean_token_accuracy": 0.1420318104326725, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.566394519805908, + "epoch": 1.843145681134508, + "grad_norm": 0.9375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2537, + "mean_token_accuracy": 0.14613947346806527, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.378025674819947, + "epoch": 1.8474430597335625, + "grad_norm": 0.98828125, + "learning_rate": 0.0004871516159385768, + "loss": 6.2048, + "mean_token_accuracy": 0.15661944225430488, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.331248712539673, + "epoch": 1.8517404383326173, + "grad_norm": 1.03125, + "learning_rate": 0.0004870406386417752, + "loss": 6.1133, + "mean_token_accuracy": 0.15902349054813386, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.3689392566680905, + "epoch": 1.8560378169316718, + "grad_norm": 1.0546875, + "learning_rate": 0.0004869291983329707, + "loss": 6.0464, + "mean_token_accuracy": 0.16715734601020812, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.45319676399231, + "epoch": 1.8603351955307263, + "grad_norm": 0.96875, + "learning_rate": 0.0004868172952555044, + "loss": 6.1646, + "mean_token_accuracy": 0.14661258310079575, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.394322872161865, + "epoch": 1.864632574129781, + "grad_norm": 0.90234375, + "learning_rate": 0.0004867049296537278, + "loss": 6.1415, + "mean_token_accuracy": 0.15269692093133927, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.474433708190918, + "epoch": 1.8689299527288354, + "grad_norm": 1.1796875, + "learning_rate": 0.0004865921017730027, + "loss": 6.2316, + "mean_token_accuracy": 0.15484376698732377, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.439454174041748, + "epoch": 1.87322733132789, + "grad_norm": 0.92578125, + "learning_rate": 0.00048647881185969995, + "loss": 6.2453, + "mean_token_accuracy": 0.14685868918895723, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.393148756027221, + "epoch": 1.8775247099269445, + "grad_norm": 0.96484375, + "learning_rate": 0.0004863650601611994, + "loss": 6.1549, + "mean_token_accuracy": 0.15369305908679962, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.382004022598267, + "epoch": 1.881822088525999, + "grad_norm": 1.0078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1903, + "mean_token_accuracy": 0.15866641253232955, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.365177822113037, + "epoch": 1.8861194671250536, + "grad_norm": 1.0546875, + "learning_rate": 0.00048613617240316593, + "loss": 6.1493, + "mean_token_accuracy": 0.15633954405784606, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.4114241123199465, + "epoch": 1.8904168457241082, + "grad_norm": 0.99609375, + "learning_rate": 0.0004860210368434323, + "loss": 6.202, + "mean_token_accuracy": 0.15539102777838706, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.44605655670166, + "epoch": 1.8947142243231627, + "grad_norm": 0.890625, + "learning_rate": 0.00048590544049809857, + "loss": 6.2143, + "mean_token_accuracy": 0.15502872616052626, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.396330881118774, + "epoch": 1.8990116029222175, + "grad_norm": 0.96484375, + "learning_rate": 0.000485789383619581, + "loss": 6.2196, + "mean_token_accuracy": 0.1552313044667244, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.393840074539185, + "epoch": 1.903308981521272, + "grad_norm": 1.0390625, + "learning_rate": 0.0004856728664613015, + "loss": 6.2381, + "mean_token_accuracy": 0.1517387181520462, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.4121527671813965, + "epoch": 1.9076063601203266, + "grad_norm": 0.96484375, + "learning_rate": 0.00048555588927768674, + "loss": 6.2065, + "mean_token_accuracy": 0.15306443050503732, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4631853103637695, + "epoch": 1.9119037387193811, + "grad_norm": 1.046875, + "learning_rate": 0.0004854384523241683, + "loss": 6.1853, + "mean_token_accuracy": 0.14910603538155556, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.358554410934448, + "epoch": 1.916201117318436, + "grad_norm": 0.9765625, + "learning_rate": 0.00048532055585718143, + "loss": 6.1143, + "mean_token_accuracy": 0.1558242991566658, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.419343090057373, + "epoch": 1.9204984959174904, + "grad_norm": 1.046875, + "learning_rate": 0.00048520220013416505, + "loss": 6.1398, + "mean_token_accuracy": 0.15855558216571808, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.371563529968261, + "epoch": 1.924795874516545, + "grad_norm": 1.0, + "learning_rate": 0.0004850833854135607, + "loss": 6.2178, + "mean_token_accuracy": 0.15214873254299163, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.432424831390381, + "epoch": 1.9290932531155995, + "grad_norm": 0.89453125, + "learning_rate": 0.0004849641119548122, + "loss": 6.284, + "mean_token_accuracy": 0.14980236291885377, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.53593487739563, + "epoch": 1.933390631714654, + "grad_norm": 1.0, + "learning_rate": 0.000484844380018365, + "loss": 6.2792, + "mean_token_accuracy": 0.14946389943361282, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.445489692687988, + "epoch": 1.9376880103137086, + "grad_norm": 0.98828125, + "learning_rate": 0.000484724189865666, + "loss": 6.2137, + "mean_token_accuracy": 0.15263792276382446, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.2474573135375975, + "epoch": 1.9419853889127632, + "grad_norm": 0.98828125, + "learning_rate": 0.0004846035417591624, + "loss": 6.14, + "mean_token_accuracy": 0.15635560899972917, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.473322486877441, + "epoch": 1.9462827675118177, + "grad_norm": 1.0390625, + "learning_rate": 0.0004844824359623014, + "loss": 6.2727, + "mean_token_accuracy": 0.14365370869636535, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.42958698272705, + "epoch": 1.9505801461108723, + "grad_norm": 1.03125, + "learning_rate": 0.00048436087273952966, + "loss": 6.2456, + "mean_token_accuracy": 0.14321349710226058, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.395676183700561, + "epoch": 1.9548775247099268, + "grad_norm": 1.03125, + "learning_rate": 0.00048423885235629265, + "loss": 6.2082, + "mean_token_accuracy": 0.1566771924495697, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.3766546726226805, + "epoch": 1.9591749033089814, + "grad_norm": 0.96875, + "learning_rate": 0.0004841163750790342, + "loss": 6.2387, + "mean_token_accuracy": 0.1482451669871807, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.411153888702392, + "epoch": 1.9634722819080361, + "grad_norm": 0.96875, + "learning_rate": 0.00048399344117519555, + "loss": 6.0918, + "mean_token_accuracy": 0.15616220831871033, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.349991703033448, + "epoch": 1.9677696605070907, + "grad_norm": 0.93359375, + "learning_rate": 0.00048387005091321544, + "loss": 6.1779, + "mean_token_accuracy": 0.15535371601581574, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.42883620262146, + "epoch": 1.9720670391061452, + "grad_norm": 1.046875, + "learning_rate": 0.00048374620456252877, + "loss": 6.1885, + "mean_token_accuracy": 0.1536056511104107, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.385624837875366, + "epoch": 1.9763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.00048362190239356644, + "loss": 6.1974, + "mean_token_accuracy": 0.15068082362413407, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.353290271759033, + "epoch": 1.9806617963042545, + "grad_norm": 0.85546875, + "learning_rate": 0.00048349714467775474, + "loss": 6.1594, + "mean_token_accuracy": 0.1520315356552601, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.391085815429688, + "epoch": 1.984959174903309, + "grad_norm": 1.03125, + "learning_rate": 0.00048337193168751464, + "loss": 6.2041, + "mean_token_accuracy": 0.1448718011379242, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.419165563583374, + "epoch": 1.9892565535023636, + "grad_norm": 1.046875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1675, + "mean_token_accuracy": 0.15215626806020738, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.369716596603394, + "epoch": 1.9935539321014182, + "grad_norm": 1.0859375, + "learning_rate": 0.0004831201409784034, + "loss": 6.1396, + "mean_token_accuracy": 0.154638309776783, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.423878908157349, + "epoch": 1.9978513107004727, + "grad_norm": 0.9453125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1503, + "mean_token_accuracy": 0.154294952750206, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.347577359941271, + "epoch": 2.0017189514396216, + "grad_norm": 0.9765625, + "learning_rate": 0.0004828665324654724, + "loss": 6.0631, + "mean_token_accuracy": 0.15955217679341635, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.4371147632598875, + "epoch": 2.006016330038676, + "grad_norm": 0.921875, + "learning_rate": 0.0004827390472241791, + "loss": 5.8518, + "mean_token_accuracy": 0.1650273993611336, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.327361726760865, + "epoch": 2.010313708637731, + "grad_norm": 0.89453125, + "learning_rate": 0.0004826111083638392, + "loss": 5.9297, + "mean_token_accuracy": 0.16078748032450677, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.365427732467651, + "epoch": 2.0146110872367857, + "grad_norm": 0.9375, + "learning_rate": 0.00048248271616382, + "loss": 5.8909, + "mean_token_accuracy": 0.16574428230524063, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.342710208892822, + "epoch": 2.0189084658358403, + "grad_norm": 0.97265625, + "learning_rate": 0.00048235387090447894, + "loss": 5.9334, + "mean_token_accuracy": 0.16069018244743347, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.364804077148437, + "epoch": 2.023205844434895, + "grad_norm": 1.0078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8764, + "mean_token_accuracy": 0.1686857357621193, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.2878947257995605, + "epoch": 2.0275032230339494, + "grad_norm": 1.0625, + "learning_rate": 0.00048209482233420564, + "loss": 5.8282, + "mean_token_accuracy": 0.1770843207836151, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.3038060665130615, + "epoch": 2.031800601633004, + "grad_norm": 0.98046875, + "learning_rate": 0.000481964619588932, + "loss": 5.8865, + "mean_token_accuracy": 0.16635389626026154, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.329894876480102, + "epoch": 2.0360979802320585, + "grad_norm": 1.0, + "learning_rate": 0.0004818339649156523, + "loss": 5.9031, + "mean_token_accuracy": 0.16931673139333725, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.202824544906616, + "epoch": 2.040395358831113, + "grad_norm": 0.95703125, + "learning_rate": 0.00048170285859966395, + "loss": 5.8119, + "mean_token_accuracy": 0.1753219798207283, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.33490400314331, + "epoch": 2.0446927374301676, + "grad_norm": 0.91796875, + "learning_rate": 0.00048157130092725087, + "loss": 5.7905, + "mean_token_accuracy": 0.17381954342126846, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.351769590377808, + "epoch": 2.048990116029222, + "grad_norm": 0.984375, + "learning_rate": 0.0004814392921856824, + "loss": 5.9396, + "mean_token_accuracy": 0.16599524021148682, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.274995040893555, + "epoch": 2.0532874946282766, + "grad_norm": 0.890625, + "learning_rate": 0.0004813068326632128, + "loss": 5.7941, + "mean_token_accuracy": 0.1739266350865364, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.335586738586426, + "epoch": 2.057584873227331, + "grad_norm": 1.0, + "learning_rate": 0.0004811739226490809, + "loss": 5.9723, + "mean_token_accuracy": 0.1657353535294533, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.2787346839904785, + "epoch": 2.0618822518263857, + "grad_norm": 1.03125, + "learning_rate": 0.00048104056243350896, + "loss": 5.9151, + "mean_token_accuracy": 0.1622727930545807, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.314475345611572, + "epoch": 2.0661796304254403, + "grad_norm": 0.94921875, + "learning_rate": 0.0004809067523077023, + "loss": 5.9368, + "mean_token_accuracy": 0.16686248034238815, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.281144666671753, + "epoch": 2.0704770090244953, + "grad_norm": 1.0234375, + "learning_rate": 0.00048077249256384884, + "loss": 5.8062, + "mean_token_accuracy": 0.17436677366495132, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.224628639221192, + "epoch": 2.07477438762355, + "grad_norm": 1.1328125, + "learning_rate": 0.0004806377834951182, + "loss": 5.9153, + "mean_token_accuracy": 0.16276209503412248, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.381396484375, + "epoch": 2.0790717662226044, + "grad_norm": 1.078125, + "learning_rate": 0.00048050262539566104, + "loss": 5.9074, + "mean_token_accuracy": 0.1704580768942833, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.253005933761597, + "epoch": 2.083369144821659, + "grad_norm": 0.98828125, + "learning_rate": 0.0004803670185606087, + "loss": 5.8316, + "mean_token_accuracy": 0.17470465898513793, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.290292263031006, + "epoch": 2.0876665234207135, + "grad_norm": 1.015625, + "learning_rate": 0.0004802309632860724, + "loss": 5.9153, + "mean_token_accuracy": 0.16799798905849456, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.328047180175782, + "epoch": 2.091963902019768, + "grad_norm": 1.0, + "learning_rate": 0.00048009445986914236, + "loss": 5.9037, + "mean_token_accuracy": 0.16361760944128037, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.251105260848999, + "epoch": 2.0962612806188226, + "grad_norm": 0.984375, + "learning_rate": 0.00047995750860788756, + "loss": 5.8763, + "mean_token_accuracy": 0.16064124852418898, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.269289493560791, + "epoch": 2.100558659217877, + "grad_norm": 1.1171875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8784, + "mean_token_accuracy": 0.17077162116765976, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.216794633865357, + "epoch": 2.1048560378169316, + "grad_norm": 0.94921875, + "learning_rate": 0.00047968226374956797, + "loss": 5.8564, + "mean_token_accuracy": 0.16725987941026688, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.243628740310669, + "epoch": 2.109153416415986, + "grad_norm": 0.98046875, + "learning_rate": 0.00047954397075352794, + "loss": 5.8711, + "mean_token_accuracy": 0.16993128061294555, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.267875003814697, + "epoch": 2.1134507950150407, + "grad_norm": 1.0390625, + "learning_rate": 0.00047940523111521136, + "loss": 5.7674, + "mean_token_accuracy": 0.17551021575927733, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.209959268569946, + "epoch": 2.1177481736140953, + "grad_norm": 1.15625, + "learning_rate": 0.0004792660451375701, + "loss": 5.8378, + "mean_token_accuracy": 0.1700508713722229, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.252925443649292, + "epoch": 2.12204555221315, + "grad_norm": 1.0625, + "learning_rate": 0.00047912641312453064, + "loss": 5.8445, + "mean_token_accuracy": 0.16888150274753572, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.2727385520935055, + "epoch": 2.1263429308122044, + "grad_norm": 0.91796875, + "learning_rate": 0.00047898633538099363, + "loss": 5.9077, + "mean_token_accuracy": 0.16311377584934234, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.240498495101929, + "epoch": 2.130640309411259, + "grad_norm": 0.93359375, + "learning_rate": 0.0004788458122128327, + "loss": 5.926, + "mean_token_accuracy": 0.16604274660348892, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.272474479675293, + "epoch": 2.134937688010314, + "grad_norm": 1.0390625, + "learning_rate": 0.00047870484392689434, + "loss": 5.7914, + "mean_token_accuracy": 0.1672845244407654, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.2719934463500975, + "epoch": 2.1392350666093685, + "grad_norm": 1.03125, + "learning_rate": 0.000478563430830997, + "loss": 5.8803, + "mean_token_accuracy": 0.16633028984069825, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.207609510421753, + "epoch": 2.143532445208423, + "grad_norm": 0.98046875, + "learning_rate": 0.00047842157323393035, + "loss": 5.8296, + "mean_token_accuracy": 0.1706731289625168, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.286458158493042, + "epoch": 2.1478298238074776, + "grad_norm": 0.98828125, + "learning_rate": 0.0004782792714454547, + "loss": 6.0015, + "mean_token_accuracy": 0.16442835330963135, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 6.109945370270325, + "eval_loss": 6.212513446807861, + "eval_mean_token_accuracy": 0.15539610120761502, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.921, + "eval_steps_per_second": 216.548, + "step": 2500 + }, + { + "entropy": 6.2429650783538815, + "epoch": 2.152127202406532, + "grad_norm": 1.078125, + "learning_rate": 0.0004781365257763002, + "loss": 5.8456, + "mean_token_accuracy": 0.16931284964084625, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.164100790023804, + "epoch": 2.1564245810055866, + "grad_norm": 1.1953125, + "learning_rate": 0.00047799333653816633, + "loss": 5.7458, + "mean_token_accuracy": 0.1765029177069664, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.2381916522979735, + "epoch": 2.160721959604641, + "grad_norm": 0.9296875, + "learning_rate": 0.00047784970404372124, + "loss": 5.8464, + "mean_token_accuracy": 0.16380368024110795, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.172519302368164, + "epoch": 2.1650193382036957, + "grad_norm": 1.0703125, + "learning_rate": 0.00047770562860660083, + "loss": 5.8538, + "mean_token_accuracy": 0.16628692597150802, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.255974197387696, + "epoch": 2.1693167168027503, + "grad_norm": 0.90625, + "learning_rate": 0.0004775611105414083, + "loss": 5.9376, + "mean_token_accuracy": 0.1599043294787407, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.199368286132812, + "epoch": 2.173614095401805, + "grad_norm": 0.953125, + "learning_rate": 0.0004774161501637133, + "loss": 5.8834, + "mean_token_accuracy": 0.1693019151687622, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.238662958145142, + "epoch": 2.1779114740008594, + "grad_norm": 1.171875, + "learning_rate": 0.0004772707477900514, + "loss": 5.8539, + "mean_token_accuracy": 0.16817047595977783, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.345929908752441, + "epoch": 2.182208852599914, + "grad_norm": 1.0546875, + "learning_rate": 0.0004771249037379232, + "loss": 5.968, + "mean_token_accuracy": 0.16030408143997193, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.233392953872681, + "epoch": 2.1865062311989685, + "grad_norm": 1.046875, + "learning_rate": 0.0004769786183257939, + "loss": 5.8709, + "mean_token_accuracy": 0.17347402423620223, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.184610652923584, + "epoch": 2.190803609798023, + "grad_norm": 1.046875, + "learning_rate": 0.0004768318918730924, + "loss": 5.7984, + "mean_token_accuracy": 0.17670518308877944, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.218139505386352, + "epoch": 2.195100988397078, + "grad_norm": 0.99609375, + "learning_rate": 0.00047668472470021044, + "loss": 5.8713, + "mean_token_accuracy": 0.16367379873991011, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.239636707305908, + "epoch": 2.1993983669961326, + "grad_norm": 1.0078125, + "learning_rate": 0.0004765371171285025, + "loss": 5.8163, + "mean_token_accuracy": 0.17504389137029647, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.096165037155151, + "epoch": 2.203695745595187, + "grad_norm": 1.0078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8729, + "mean_token_accuracy": 0.16270434856414795, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.269977855682373, + "epoch": 2.2079931241942417, + "grad_norm": 1.078125, + "learning_rate": 0.00047624058207883317, + "loss": 5.8604, + "mean_token_accuracy": 0.17035209834575654, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.308097791671753, + "epoch": 2.212290502793296, + "grad_norm": 0.9921875, + "learning_rate": 0.00047609165524838576, + "loss": 5.9352, + "mean_token_accuracy": 0.1621068611741066, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.127339649200439, + "epoch": 2.2165878813923507, + "grad_norm": 1.1875, + "learning_rate": 0.0004759422893141389, + "loss": 5.8236, + "mean_token_accuracy": 0.1692316710948944, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.216268539428711, + "epoch": 2.2208852599914053, + "grad_norm": 1.0234375, + "learning_rate": 0.0004757924846022482, + "loss": 5.89, + "mean_token_accuracy": 0.1616070792078972, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.20239634513855, + "epoch": 2.22518263859046, + "grad_norm": 1.125, + "learning_rate": 0.00047564224143982714, + "loss": 5.7428, + "mean_token_accuracy": 0.17824842780828476, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.250929498672486, + "epoch": 2.2294800171895144, + "grad_norm": 1.1171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.9075, + "mean_token_accuracy": 0.16583409011363984, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.108888292312622, + "epoch": 2.233777395788569, + "grad_norm": 0.9921875, + "learning_rate": 0.00047534044107663484, + "loss": 5.9105, + "mean_token_accuracy": 0.1638724222779274, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.311524677276611, + "epoch": 2.2380747743876235, + "grad_norm": 1.109375, + "learning_rate": 0.00047518888453487496, + "loss": 5.817, + "mean_token_accuracy": 0.1758144274353981, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.171684503555298, + "epoch": 2.242372152986678, + "grad_norm": 0.94140625, + "learning_rate": 0.0004750368908606061, + "loss": 5.9379, + "mean_token_accuracy": 0.16401576846837998, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.278733396530152, + "epoch": 2.2466695315857326, + "grad_norm": 0.94140625, + "learning_rate": 0.00047488446038572164, + "loss": 5.988, + "mean_token_accuracy": 0.158454030752182, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.271483707427978, + "epoch": 2.250966910184787, + "grad_norm": 1.0703125, + "learning_rate": 0.0004747315934430688, + "loss": 5.8964, + "mean_token_accuracy": 0.16533373892307282, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.122837829589844, + "epoch": 2.2552642887838417, + "grad_norm": 1.0703125, + "learning_rate": 0.000474578290366448, + "loss": 5.8258, + "mean_token_accuracy": 0.16424619704484938, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.242071962356567, + "epoch": 2.259561667382896, + "grad_norm": 1.0390625, + "learning_rate": 0.0004744245514906117, + "loss": 5.8387, + "mean_token_accuracy": 0.17140334099531174, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.109820699691772, + "epoch": 2.263859045981951, + "grad_norm": 1.0859375, + "learning_rate": 0.00047427037715126426, + "loss": 5.8071, + "mean_token_accuracy": 0.16793861836194993, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.13071641921997, + "epoch": 2.2681564245810057, + "grad_norm": 1.0078125, + "learning_rate": 0.0004741157676850608, + "loss": 5.7959, + "mean_token_accuracy": 0.1719123378396034, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.219759845733643, + "epoch": 2.2724538031800603, + "grad_norm": 1.21875, + "learning_rate": 0.00047396072342960663, + "loss": 5.8436, + "mean_token_accuracy": 0.16473171710968018, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.172075414657593, + "epoch": 2.276751181779115, + "grad_norm": 0.99609375, + "learning_rate": 0.00047380524472345645, + "loss": 5.8926, + "mean_token_accuracy": 0.16456550508737564, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.204276752471924, + "epoch": 2.2810485603781694, + "grad_norm": 1.0390625, + "learning_rate": 0.0004736493319061134, + "loss": 5.9046, + "mean_token_accuracy": 0.16881225854158402, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.19776291847229, + "epoch": 2.285345938977224, + "grad_norm": 0.94140625, + "learning_rate": 0.0004734929853180291, + "loss": 5.8878, + "mean_token_accuracy": 0.16559435576200485, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.220638990402222, + "epoch": 2.2896433175762785, + "grad_norm": 0.88671875, + "learning_rate": 0.00047333620530060175, + "loss": 5.9317, + "mean_token_accuracy": 0.1637803792953491, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.251469230651855, + "epoch": 2.293940696175333, + "grad_norm": 1.0546875, + "learning_rate": 0.0004731789921961764, + "loss": 5.9358, + "mean_token_accuracy": 0.164635768532753, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.212742853164673, + "epoch": 2.2982380747743876, + "grad_norm": 1.0703125, + "learning_rate": 0.0004730213463480434, + "loss": 5.8428, + "mean_token_accuracy": 0.17302587628364563, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.159517288208008, + "epoch": 2.302535453373442, + "grad_norm": 0.953125, + "learning_rate": 0.00047286326810043857, + "loss": 5.7962, + "mean_token_accuracy": 0.16983986347913743, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.198332214355469, + "epoch": 2.3068328319724967, + "grad_norm": 1.0703125, + "learning_rate": 0.00047270475779854137, + "loss": 5.829, + "mean_token_accuracy": 0.1737384930253029, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.295279121398925, + "epoch": 2.311130210571551, + "grad_norm": 1.0390625, + "learning_rate": 0.00047254581578847507, + "loss": 5.8707, + "mean_token_accuracy": 0.16589304506778718, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.145449829101563, + "epoch": 2.3154275891706058, + "grad_norm": 1.03125, + "learning_rate": 0.0004723864424173055, + "loss": 5.9872, + "mean_token_accuracy": 0.1639627918601036, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.2244713306427, + "epoch": 2.3197249677696608, + "grad_norm": 1.0234375, + "learning_rate": 0.0004722266380330403, + "loss": 5.7716, + "mean_token_accuracy": 0.17777814120054244, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.205074501037598, + "epoch": 2.3240223463687153, + "grad_norm": 1.0078125, + "learning_rate": 0.00047206640298462857, + "loss": 5.8554, + "mean_token_accuracy": 0.17233493477106093, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.170949125289917, + "epoch": 2.32831972496777, + "grad_norm": 1.0546875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8997, + "mean_token_accuracy": 0.1642414078116417, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.167499303817749, + "epoch": 2.3326171035668244, + "grad_norm": 0.875, + "learning_rate": 0.00047174464229586186, + "loss": 6.007, + "mean_token_accuracy": 0.15407418310642243, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.3167987823486325, + "epoch": 2.336914482165879, + "grad_norm": 1.171875, + "learning_rate": 0.0004715831173581036, + "loss": 5.9632, + "mean_token_accuracy": 0.16583859026432038, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.154605293273926, + "epoch": 2.3412118607649335, + "grad_norm": 0.90625, + "learning_rate": 0.00047142116316139073, + "loss": 5.9062, + "mean_token_accuracy": 0.16728972047567367, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.263886308670044, + "epoch": 2.345509239363988, + "grad_norm": 0.91796875, + "learning_rate": 0.0004712587800593663, + "loss": 5.935, + "mean_token_accuracy": 0.16565471589565278, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.191297912597657, + "epoch": 2.3498066179630426, + "grad_norm": 1.21875, + "learning_rate": 0.0004710959684066102, + "loss": 5.8388, + "mean_token_accuracy": 0.17293576747179032, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.195657110214233, + "epoch": 2.354103996562097, + "grad_norm": 0.99609375, + "learning_rate": 0.00047093272855863803, + "loss": 5.9072, + "mean_token_accuracy": 0.16806580722332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.159595584869384, + "epoch": 2.3584013751611517, + "grad_norm": 0.98828125, + "learning_rate": 0.0004707690608719003, + "loss": 5.8381, + "mean_token_accuracy": 0.17171266674995422, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.204063940048218, + "epoch": 2.362698753760206, + "grad_norm": 1.09375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8984, + "mean_token_accuracy": 0.16405170410871506, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.20027117729187, + "epoch": 2.3669961323592608, + "grad_norm": 0.9609375, + "learning_rate": 0.0004704404434126009, + "loss": 5.8461, + "mean_token_accuracy": 0.16249971985816955, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.224915170669556, + "epoch": 2.3712935109583153, + "grad_norm": 0.9765625, + "learning_rate": 0.00047027549435760843, + "loss": 5.9216, + "mean_token_accuracy": 0.1661619648337364, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.301250553131103, + "epoch": 2.37559088955737, + "grad_norm": 1.0390625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9655, + "mean_token_accuracy": 0.15823127031326295, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.196396017074585, + "epoch": 2.3798882681564244, + "grad_norm": 1.125, + "learning_rate": 0.00046994431739785114, + "loss": 5.8026, + "mean_token_accuracy": 0.1763622686266899, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.190552377700806, + "epoch": 2.384185646755479, + "grad_norm": 0.984375, + "learning_rate": 0.00046977809021624454, + "loss": 5.9674, + "mean_token_accuracy": 0.16489340364933014, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.236513423919678, + "epoch": 2.3884830253545335, + "grad_norm": 1.0703125, + "learning_rate": 0.0004696114377171409, + "loss": 5.9022, + "mean_token_accuracy": 0.1675196796655655, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.134419250488281, + "epoch": 2.3927804039535885, + "grad_norm": 1.0625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8574, + "mean_token_accuracy": 0.1658073604106903, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.230590677261352, + "epoch": 2.397077782552643, + "grad_norm": 0.98046875, + "learning_rate": 0.0004692768582229808, + "loss": 5.8537, + "mean_token_accuracy": 0.16909998953342437, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.158745527267456, + "epoch": 2.4013751611516976, + "grad_norm": 0.9140625, + "learning_rate": 0.00046910893195851213, + "loss": 5.7812, + "mean_token_accuracy": 0.16957359611988068, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.144252824783325, + "epoch": 2.405672539750752, + "grad_norm": 1.0078125, + "learning_rate": 0.00046894058183772074, + "loss": 5.9448, + "mean_token_accuracy": 0.16215559244155883, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.177387857437134, + "epoch": 2.4099699183498067, + "grad_norm": 1.0625, + "learning_rate": 0.000468771808228216, + "loss": 5.9009, + "mean_token_accuracy": 0.16563187092542647, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.154799270629883, + "epoch": 2.414267296948861, + "grad_norm": 1.0546875, + "learning_rate": 0.00046860261149853197, + "loss": 5.9281, + "mean_token_accuracy": 0.16382392197847367, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.148438119888306, + "epoch": 2.4185646755479158, + "grad_norm": 1.1015625, + "learning_rate": 0.0004684329920181268, + "loss": 5.8216, + "mean_token_accuracy": 0.17049064636230468, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.1651019096374515, + "epoch": 2.4228620541469703, + "grad_norm": 1.0859375, + "learning_rate": 0.00046826295015738154, + "loss": 5.7785, + "mean_token_accuracy": 0.17763484865427018, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.099349737167358, + "epoch": 2.427159432746025, + "grad_norm": 0.9375, + "learning_rate": 0.0004680924862875996, + "loss": 5.8788, + "mean_token_accuracy": 0.170813749730587, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.231349277496338, + "epoch": 2.4314568113450794, + "grad_norm": 0.94140625, + "learning_rate": 0.00046792160078100605, + "loss": 5.8826, + "mean_token_accuracy": 0.16604618430137635, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.136086511611938, + "epoch": 2.435754189944134, + "grad_norm": 0.97265625, + "learning_rate": 0.00046775029401074653, + "loss": 5.7844, + "mean_token_accuracy": 0.178993821144104, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.202201557159424, + "epoch": 2.4400515685431885, + "grad_norm": 1.1015625, + "learning_rate": 0.00046757856635088645, + "loss": 5.8537, + "mean_token_accuracy": 0.1712223544716835, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.172966527938843, + "epoch": 2.444348947142243, + "grad_norm": 0.95703125, + "learning_rate": 0.0004674064181764105, + "loss": 5.9056, + "mean_token_accuracy": 0.1733956053853035, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.177707719802856, + "epoch": 2.448646325741298, + "grad_norm": 0.94140625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8777, + "mean_token_accuracy": 0.16896003782749175, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.167446327209473, + "epoch": 2.4529437043403526, + "grad_norm": 0.98828125, + "learning_rate": 0.0004670608617881395, + "loss": 5.8142, + "mean_token_accuracy": 0.17425985783338546, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.108637952804566, + "epoch": 2.457241082939407, + "grad_norm": 1.0546875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7986, + "mean_token_accuracy": 0.18018365651369095, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.141421508789063, + "epoch": 2.4615384615384617, + "grad_norm": 1.0078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.8011, + "mean_token_accuracy": 0.18125482499599457, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.088820695877075, + "epoch": 2.465835840137516, + "grad_norm": 0.9921875, + "learning_rate": 0.00046653938277348237, + "loss": 5.8487, + "mean_token_accuracy": 0.17472687363624573, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.261274719238282, + "epoch": 2.4701332187365708, + "grad_norm": 1.1171875, + "learning_rate": 0.0004663647194373505, + "loss": 5.9156, + "mean_token_accuracy": 0.16283378154039382, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.124586343765259, + "epoch": 2.4744305973356253, + "grad_norm": 0.9375, + "learning_rate": 0.00046618963823715913, + "loss": 5.8653, + "mean_token_accuracy": 0.1686026558279991, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.198731851577759, + "epoch": 2.47872797593468, + "grad_norm": 1.0546875, + "learning_rate": 0.00046601413955521575, + "loss": 5.8336, + "mean_token_accuracy": 0.1733954593539238, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.167904710769653, + "epoch": 2.4830253545337344, + "grad_norm": 1.078125, + "learning_rate": 0.0004658382237747393, + "loss": 5.894, + "mean_token_accuracy": 0.16233221739530562, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.210194540023804, + "epoch": 2.487322733132789, + "grad_norm": 0.9609375, + "learning_rate": 0.00046566189127985946, + "loss": 5.8836, + "mean_token_accuracy": 0.17433235198259353, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.169331502914429, + "epoch": 2.4916201117318435, + "grad_norm": 0.94921875, + "learning_rate": 0.000465485142455616, + "loss": 5.8388, + "mean_token_accuracy": 0.1740201309323311, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.07768177986145, + "epoch": 2.495917490330898, + "grad_norm": 1.0078125, + "learning_rate": 0.00046530797768795765, + "loss": 5.801, + "mean_token_accuracy": 0.17944221645593644, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.17024712562561, + "epoch": 2.5002148689299526, + "grad_norm": 0.94921875, + "learning_rate": 0.00046513039736374153, + "loss": 5.9382, + "mean_token_accuracy": 0.16346622705459596, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.215419769287109, + "epoch": 2.504512247529007, + "grad_norm": 1.0703125, + "learning_rate": 0.0004649524018707319, + "loss": 5.8424, + "mean_token_accuracy": 0.16681308597326278, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.142744636535644, + "epoch": 2.5088096261280617, + "grad_norm": 1.1640625, + "learning_rate": 0.00046477399159759996, + "loss": 5.7948, + "mean_token_accuracy": 0.17883567363023758, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 6.037441778182983, + "epoch": 2.5131070047271162, + "grad_norm": 1.0703125, + "learning_rate": 0.00046459516693392246, + "loss": 5.8052, + "mean_token_accuracy": 0.17655965834856033, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.213449382781983, + "epoch": 2.517404383326171, + "grad_norm": 1.046875, + "learning_rate": 0.0004644159282701808, + "loss": 5.8495, + "mean_token_accuracy": 0.16930186077952386, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.226251840591431, + "epoch": 2.5217017619252258, + "grad_norm": 0.96484375, + "learning_rate": 0.00046423627599776076, + "loss": 5.9213, + "mean_token_accuracy": 0.15651765167713166, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.143741273880005, + "epoch": 2.5259991405242803, + "grad_norm": 0.9609375, + "learning_rate": 0.000464056210508951, + "loss": 5.9163, + "mean_token_accuracy": 0.16428655087947847, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.176555585861206, + "epoch": 2.530296519123335, + "grad_norm": 1.03125, + "learning_rate": 0.0004638757321969426, + "loss": 5.8319, + "mean_token_accuracy": 0.16960337311029433, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.169870615005493, + "epoch": 2.5345938977223894, + "grad_norm": 1.0390625, + "learning_rate": 0.00046369484145582815, + "loss": 5.9296, + "mean_token_accuracy": 0.16125051379203797, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.0688502311706545, + "epoch": 2.538891276321444, + "grad_norm": 1.015625, + "learning_rate": 0.00046351353868060054, + "loss": 5.7804, + "mean_token_accuracy": 0.17502057552337646, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.1720726013183596, + "epoch": 2.5431886549204985, + "grad_norm": 0.9921875, + "learning_rate": 0.00046333182426715273, + "loss": 5.8841, + "mean_token_accuracy": 0.16769777685403825, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.232366323471069, + "epoch": 2.547486033519553, + "grad_norm": 1.0, + "learning_rate": 0.00046314969861227626, + "loss": 5.9187, + "mean_token_accuracy": 0.16190613955259323, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.1295037269592285, + "epoch": 2.5517834121186076, + "grad_norm": 0.8984375, + "learning_rate": 0.0004629671621136608, + "loss": 5.876, + "mean_token_accuracy": 0.17085160166025162, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.156940174102783, + "epoch": 2.556080790717662, + "grad_norm": 1.1015625, + "learning_rate": 0.0004627842151698931, + "loss": 5.8791, + "mean_token_accuracy": 0.16839216351509095, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.141358661651611, + "epoch": 2.5603781693167167, + "grad_norm": 0.984375, + "learning_rate": 0.00046260085818045625, + "loss": 5.9057, + "mean_token_accuracy": 0.16761772185564042, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.211736726760864, + "epoch": 2.5646755479157712, + "grad_norm": 1.015625, + "learning_rate": 0.0004624170915457284, + "loss": 5.8683, + "mean_token_accuracy": 0.17020333409309388, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.145984411239624, + "epoch": 2.5689729265148262, + "grad_norm": 1.0546875, + "learning_rate": 0.00046223291566698264, + "loss": 5.787, + "mean_token_accuracy": 0.17505069077014923, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.096357202529907, + "epoch": 2.5732703051138808, + "grad_norm": 0.98046875, + "learning_rate": 0.0004620483309463855, + "loss": 5.8135, + "mean_token_accuracy": 0.17221614569425583, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.217533254623413, + "epoch": 2.5775676837129353, + "grad_norm": 1.0, + "learning_rate": 0.0004618633377869961, + "loss": 5.9446, + "mean_token_accuracy": 0.15857684314250947, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 6.002345256977253, + "eval_loss": 6.1212897300720215, + "eval_mean_token_accuracy": 0.16277532707396392, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0558, + "eval_samples_per_second": 1726.341, + "eval_steps_per_second": 215.975, + "step": 3000 + }, + { + "entropy": 6.1347846508026125, + "epoch": 2.58186506231199, + "grad_norm": 0.9609375, + "learning_rate": 0.0004616779365927656, + "loss": 5.7734, + "mean_token_accuracy": 0.1822523444890976, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 6.024096488952637, + "epoch": 2.5861624409110444, + "grad_norm": 1.2265625, + "learning_rate": 0.0004614921277685361, + "loss": 5.7085, + "mean_token_accuracy": 0.17936478108167647, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.1361793041229244, + "epoch": 2.590459819510099, + "grad_norm": 0.984375, + "learning_rate": 0.00046130591172003976, + "loss": 5.8527, + "mean_token_accuracy": 0.17134219259023667, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.120989418029785, + "epoch": 2.5947571981091535, + "grad_norm": 0.984375, + "learning_rate": 0.0004611192888538981, + "loss": 5.9411, + "mean_token_accuracy": 0.1608140453696251, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.2168285846710205, + "epoch": 2.599054576708208, + "grad_norm": 1.09375, + "learning_rate": 0.00046093225957762084, + "loss": 5.9308, + "mean_token_accuracy": 0.16593084782361983, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.197446489334107, + "epoch": 2.6033519553072626, + "grad_norm": 1.0, + "learning_rate": 0.0004607448242996051, + "loss": 5.8398, + "mean_token_accuracy": 0.17084067910909653, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.1454957008361815, + "epoch": 2.607649333906317, + "grad_norm": 1.0078125, + "learning_rate": 0.0004605569834291347, + "loss": 5.8161, + "mean_token_accuracy": 0.17526462078094482, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.083783388137817, + "epoch": 2.6119467125053717, + "grad_norm": 1.140625, + "learning_rate": 0.00046036873737637904, + "loss": 5.8457, + "mean_token_accuracy": 0.17209848016500473, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.101385116577148, + "epoch": 2.6162440911044262, + "grad_norm": 1.0546875, + "learning_rate": 0.0004601800865523921, + "loss": 5.8519, + "mean_token_accuracy": 0.16869369894266129, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.142069292068482, + "epoch": 2.620541469703481, + "grad_norm": 1.0546875, + "learning_rate": 0.00045999103136911204, + "loss": 5.8559, + "mean_token_accuracy": 0.16590654104948044, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.143155193328857, + "epoch": 2.6248388483025353, + "grad_norm": 0.97265625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8708, + "mean_token_accuracy": 0.17009032517671585, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.0996771335601805, + "epoch": 2.62913622690159, + "grad_norm": 0.96875, + "learning_rate": 0.00045961170957683806, + "loss": 5.7957, + "mean_token_accuracy": 0.1701590210199356, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.1573389053344725, + "epoch": 2.6334336055006444, + "grad_norm": 0.984375, + "learning_rate": 0.00045942144379613147, + "loss": 5.9159, + "mean_token_accuracy": 0.1658922776579857, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.166552925109864, + "epoch": 2.637730984099699, + "grad_norm": 1.0, + "learning_rate": 0.00045923077531270426, + "loss": 5.8854, + "mean_token_accuracy": 0.16845837086439133, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.17145938873291, + "epoch": 2.6420283626987535, + "grad_norm": 0.98828125, + "learning_rate": 0.0004590397045429001, + "loss": 5.857, + "mean_token_accuracy": 0.17479295134544373, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.079704666137696, + "epoch": 2.646325741297808, + "grad_norm": 0.91796875, + "learning_rate": 0.00045884823190394134, + "loss": 5.7566, + "mean_token_accuracy": 0.1772332966327667, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.118323564529419, + "epoch": 2.650623119896863, + "grad_norm": 1.0546875, + "learning_rate": 0.0004586563578139275, + "loss": 5.8446, + "mean_token_accuracy": 0.16692771315574645, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.109970378875732, + "epoch": 2.6549204984959176, + "grad_norm": 1.1015625, + "learning_rate": 0.00045846408269183505, + "loss": 5.7654, + "mean_token_accuracy": 0.1782268226146698, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.152325868606567, + "epoch": 2.659217877094972, + "grad_norm": 0.96484375, + "learning_rate": 0.00045827140695751603, + "loss": 5.8366, + "mean_token_accuracy": 0.1716820165514946, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.097200155258179, + "epoch": 2.6635152556940267, + "grad_norm": 1.125, + "learning_rate": 0.0004580783310316971, + "loss": 5.8345, + "mean_token_accuracy": 0.17504153102636338, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 6.027546215057373, + "epoch": 2.6678126342930812, + "grad_norm": 1.03125, + "learning_rate": 0.00045788485533597895, + "loss": 5.6879, + "mean_token_accuracy": 0.18603624403476715, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.150567054748535, + "epoch": 2.672110012892136, + "grad_norm": 1.015625, + "learning_rate": 0.00045769098029283526, + "loss": 5.9347, + "mean_token_accuracy": 0.16201953887939452, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.15388331413269, + "epoch": 2.6764073914911903, + "grad_norm": 1.09375, + "learning_rate": 0.0004574967063256115, + "loss": 5.8353, + "mean_token_accuracy": 0.17699069976806642, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.084828329086304, + "epoch": 2.680704770090245, + "grad_norm": 1.0546875, + "learning_rate": 0.00045730203385852447, + "loss": 5.9196, + "mean_token_accuracy": 0.16706804931163788, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 6.041564130783081, + "epoch": 2.6850021486892994, + "grad_norm": 1.0, + "learning_rate": 0.000457106963316661, + "loss": 5.8215, + "mean_token_accuracy": 0.17681703120470046, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.1651557922363285, + "epoch": 2.689299527288354, + "grad_norm": 1.046875, + "learning_rate": 0.00045691149512597717, + "loss": 5.8817, + "mean_token_accuracy": 0.16579522490501403, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.171338653564453, + "epoch": 2.6935969058874085, + "grad_norm": 1.4921875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7997, + "mean_token_accuracy": 0.17142064571380616, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 6.036250162124634, + "epoch": 2.6978942844864635, + "grad_norm": 1.0703125, + "learning_rate": 0.00045651936750631337, + "loss": 5.8332, + "mean_token_accuracy": 0.17233078181743622, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.216920471191406, + "epoch": 2.702191663085518, + "grad_norm": 0.9921875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8818, + "mean_token_accuracy": 0.16918585151433946, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.1993273258209225, + "epoch": 2.7064890416845726, + "grad_norm": 1.0703125, + "learning_rate": 0.0004561256544245312, + "loss": 5.9189, + "mean_token_accuracy": 0.1607155531644821, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.047014474868774, + "epoch": 2.710786420283627, + "grad_norm": 1.046875, + "learning_rate": 0.000455928204409445, + "loss": 5.8044, + "mean_token_accuracy": 0.17973511815071105, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.113893842697143, + "epoch": 2.7150837988826817, + "grad_norm": 1.1171875, + "learning_rate": 0.00045573035931947684, + "loss": 5.802, + "mean_token_accuracy": 0.17425440698862077, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.111674499511719, + "epoch": 2.7193811774817362, + "grad_norm": 1.046875, + "learning_rate": 0.0004555321195866411, + "loss": 5.7391, + "mean_token_accuracy": 0.17396723330020905, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.137631750106811, + "epoch": 2.723678556080791, + "grad_norm": 1.171875, + "learning_rate": 0.0004553334856438143, + "loss": 5.9224, + "mean_token_accuracy": 0.16666966825723648, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.1654016971588135, + "epoch": 2.7279759346798453, + "grad_norm": 0.9375, + "learning_rate": 0.00045513445792473356, + "loss": 5.911, + "mean_token_accuracy": 0.16542696654796601, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.174024152755737, + "epoch": 2.7322733132789, + "grad_norm": 1.0625, + "learning_rate": 0.0004549350368639958, + "loss": 5.9451, + "mean_token_accuracy": 0.16035651415586472, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.2061694145202635, + "epoch": 2.7365706918779544, + "grad_norm": 1.0390625, + "learning_rate": 0.00045473522289705693, + "loss": 5.891, + "mean_token_accuracy": 0.1694064900279045, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 6.0452875137329105, + "epoch": 2.740868070477009, + "grad_norm": 1.0625, + "learning_rate": 0.00045453501646023085, + "loss": 5.9372, + "mean_token_accuracy": 0.16121204793453217, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.124906301498413, + "epoch": 2.7451654490760635, + "grad_norm": 0.91015625, + "learning_rate": 0.00045433441799068837, + "loss": 5.84, + "mean_token_accuracy": 0.17111808210611343, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.147184801101685, + "epoch": 2.749462827675118, + "grad_norm": 1.0078125, + "learning_rate": 0.0004541334279264562, + "loss": 5.7407, + "mean_token_accuracy": 0.18340681195259095, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.072987508773804, + "epoch": 2.7537602062741726, + "grad_norm": 1.125, + "learning_rate": 0.00045393204670641656, + "loss": 5.7547, + "mean_token_accuracy": 0.1745822474360466, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 6.005992603302002, + "epoch": 2.758057584873227, + "grad_norm": 1.03125, + "learning_rate": 0.0004537302747703055, + "loss": 5.7829, + "mean_token_accuracy": 0.17934428602457048, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.185523939132691, + "epoch": 2.7623549634722817, + "grad_norm": 1.140625, + "learning_rate": 0.00045352811255871216, + "loss": 5.9086, + "mean_token_accuracy": 0.16498518288135527, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.20290732383728, + "epoch": 2.7666523420713363, + "grad_norm": 0.89453125, + "learning_rate": 0.00045332556051307804, + "loss": 5.8267, + "mean_token_accuracy": 0.16665343046188355, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.123448705673217, + "epoch": 2.770949720670391, + "grad_norm": 0.9921875, + "learning_rate": 0.00045312261907569585, + "loss": 5.8263, + "mean_token_accuracy": 0.17210643440485002, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.09133882522583, + "epoch": 2.775247099269446, + "grad_norm": 1.03125, + "learning_rate": 0.00045291928868970867, + "loss": 5.8557, + "mean_token_accuracy": 0.16730334907770156, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.103731679916382, + "epoch": 2.7795444778685003, + "grad_norm": 1.0234375, + "learning_rate": 0.0004527155697991087, + "loss": 5.9124, + "mean_token_accuracy": 0.16498502045869828, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.116323661804199, + "epoch": 2.783841856467555, + "grad_norm": 0.90625, + "learning_rate": 0.0004525114628487365, + "loss": 5.928, + "mean_token_accuracy": 0.1643183633685112, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.18259449005127, + "epoch": 2.7881392350666094, + "grad_norm": 1.0234375, + "learning_rate": 0.00045230696828428026, + "loss": 5.9034, + "mean_token_accuracy": 0.16625797897577285, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.126916885375977, + "epoch": 2.792436613665664, + "grad_norm": 1.078125, + "learning_rate": 0.0004521020865522742, + "loss": 5.7972, + "mean_token_accuracy": 0.171038818359375, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 6.091484212875367, + "epoch": 2.7967339922647185, + "grad_norm": 1.0546875, + "learning_rate": 0.00045189681810009827, + "loss": 5.8604, + "mean_token_accuracy": 0.1673845484852791, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.245140838623047, + "epoch": 2.801031370863773, + "grad_norm": 1.1796875, + "learning_rate": 0.00045169116337597653, + "loss": 5.8792, + "mean_token_accuracy": 0.16876531690359114, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.171068525314331, + "epoch": 2.8053287494628276, + "grad_norm": 1.1171875, + "learning_rate": 0.000451485122828977, + "loss": 5.9096, + "mean_token_accuracy": 0.1670824408531189, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 6.007605361938476, + "epoch": 2.809626128061882, + "grad_norm": 0.9609375, + "learning_rate": 0.00045127869690900956, + "loss": 5.7687, + "mean_token_accuracy": 0.17781976610422134, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.040731048583984, + "epoch": 2.8139235066609367, + "grad_norm": 1.1875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8725, + "mean_token_accuracy": 0.17112763077020646, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.213654851913452, + "epoch": 2.8182208852599913, + "grad_norm": 1.046875, + "learning_rate": 0.0004508646907540188, + "loss": 5.8253, + "mean_token_accuracy": 0.16726296544075012, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.115692520141602, + "epoch": 2.8225182638590463, + "grad_norm": 1.078125, + "learning_rate": 0.0004506571114230195, + "loss": 5.8797, + "mean_token_accuracy": 0.16483918130397796, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 6.044183731079102, + "epoch": 2.826815642458101, + "grad_norm": 0.984375, + "learning_rate": 0.00045044914852709824, + "loss": 5.8337, + "mean_token_accuracy": 0.16715002954006195, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.176396608352661, + "epoch": 2.8311130210571553, + "grad_norm": 1.0546875, + "learning_rate": 0.0004502408025203631, + "loss": 5.8088, + "mean_token_accuracy": 0.17391630709171296, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.108564949035644, + "epoch": 2.83541039965621, + "grad_norm": 1.015625, + "learning_rate": 0.0004500320738577584, + "loss": 5.8006, + "mean_token_accuracy": 0.17633765786886216, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.053935432434082, + "epoch": 2.8397077782552644, + "grad_norm": 1.1015625, + "learning_rate": 0.00044982296299506407, + "loss": 5.7997, + "mean_token_accuracy": 0.17893847674131394, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.1164305210113525, + "epoch": 2.844005156854319, + "grad_norm": 1.1484375, + "learning_rate": 0.0004496134703888948, + "loss": 5.875, + "mean_token_accuracy": 0.1690862849354744, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.122239971160889, + "epoch": 2.8483025354533735, + "grad_norm": 1.0234375, + "learning_rate": 0.00044940359649669846, + "loss": 5.7361, + "mean_token_accuracy": 0.18076154738664627, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 6.093537425994873, + "epoch": 2.852599914052428, + "grad_norm": 1.0625, + "learning_rate": 0.00044919334177675595, + "loss": 5.8232, + "mean_token_accuracy": 0.16410151720046998, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.088628053665161, + "epoch": 2.8568972926514826, + "grad_norm": 1.0390625, + "learning_rate": 0.00044898270668817955, + "loss": 5.7633, + "mean_token_accuracy": 0.177126844227314, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.090199422836304, + "epoch": 2.861194671250537, + "grad_norm": 0.9609375, + "learning_rate": 0.000448771691690912, + "loss": 5.8325, + "mean_token_accuracy": 0.16831086575984955, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.140215587615967, + "epoch": 2.8654920498495917, + "grad_norm": 0.98046875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7898, + "mean_token_accuracy": 0.1754717782139778, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.150375843048096, + "epoch": 2.8697894284486463, + "grad_norm": 1.046875, + "learning_rate": 0.00044834852381422165, + "loss": 5.8695, + "mean_token_accuracy": 0.17155641317367554, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.0596644401550295, + "epoch": 2.874086807047701, + "grad_norm": 1.03125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7734, + "mean_token_accuracy": 0.1735791265964508, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.116873121261596, + "epoch": 2.8783841856467554, + "grad_norm": 1.140625, + "learning_rate": 0.00044792384184280106, + "loss": 5.8954, + "mean_token_accuracy": 0.16623952835798264, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.090284633636474, + "epoch": 2.88268156424581, + "grad_norm": 1.0703125, + "learning_rate": 0.00044771093423022013, + "loss": 5.9298, + "mean_token_accuracy": 0.15913961827754974, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.114023637771607, + "epoch": 2.8869789428448644, + "grad_norm": 0.96484375, + "learning_rate": 0.0004474976494859909, + "loss": 5.8486, + "mean_token_accuracy": 0.17675736397504807, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.098732328414917, + "epoch": 2.891276321443919, + "grad_norm": 0.94921875, + "learning_rate": 0.0004472839880758419, + "loss": 5.7711, + "mean_token_accuracy": 0.17180029749870301, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.195354080200195, + "epoch": 2.8955737000429735, + "grad_norm": 1.0859375, + "learning_rate": 0.0004470699504663242, + "loss": 5.8942, + "mean_token_accuracy": 0.16719547659158707, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.082501411437988, + "epoch": 2.899871078642028, + "grad_norm": 1.0234375, + "learning_rate": 0.0004468555371248104, + "loss": 5.7776, + "mean_token_accuracy": 0.17165370136499405, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.114503192901611, + "epoch": 2.904168457241083, + "grad_norm": 0.98828125, + "learning_rate": 0.0004466407485194937, + "loss": 5.8846, + "mean_token_accuracy": 0.16588175743818284, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.101830673217774, + "epoch": 2.9084658358401376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004464255851193864, + "loss": 5.8134, + "mean_token_accuracy": 0.16928868889808654, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.060112714767456, + "epoch": 2.912763214439192, + "grad_norm": 1.671875, + "learning_rate": 0.0004462100473943194, + "loss": 5.779, + "mean_token_accuracy": 0.17902038842439652, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.066328811645508, + "epoch": 2.9170605930382467, + "grad_norm": 0.99609375, + "learning_rate": 0.000445994135814941, + "loss": 5.8031, + "mean_token_accuracy": 0.17068170607089997, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.1107556343078615, + "epoch": 2.9213579716373013, + "grad_norm": 1.15625, + "learning_rate": 0.00044577785085271566, + "loss": 5.8222, + "mean_token_accuracy": 0.16928994953632354, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.177258014678955, + "epoch": 2.925655350236356, + "grad_norm": 0.98828125, + "learning_rate": 0.0004455611929799235, + "loss": 5.8653, + "mean_token_accuracy": 0.15872504711151122, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 6.03788800239563, + "epoch": 2.9299527288354104, + "grad_norm": 0.98046875, + "learning_rate": 0.0004453441626696585, + "loss": 5.8994, + "mean_token_accuracy": 0.15877071171998977, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.142374467849732, + "epoch": 2.934250107434465, + "grad_norm": 1.0078125, + "learning_rate": 0.00044512676039582823, + "loss": 5.7983, + "mean_token_accuracy": 0.17737043499946595, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.133689117431641, + "epoch": 2.9385474860335195, + "grad_norm": 1.0625, + "learning_rate": 0.0004449089866331524, + "loss": 5.807, + "mean_token_accuracy": 0.17649049013853074, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 6.010902643203735, + "epoch": 2.942844864632574, + "grad_norm": 1.0546875, + "learning_rate": 0.0004446908418571617, + "loss": 5.7923, + "mean_token_accuracy": 0.17107276171445845, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.108887815475464, + "epoch": 2.9471422432316285, + "grad_norm": 1.0078125, + "learning_rate": 0.0004444723265441973, + "loss": 5.9385, + "mean_token_accuracy": 0.16253667175769806, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.079803562164306, + "epoch": 2.9514396218306835, + "grad_norm": 0.92578125, + "learning_rate": 0.0004442534411714092, + "loss": 5.8493, + "mean_token_accuracy": 0.1624876856803894, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.170568227767944, + "epoch": 2.955737000429738, + "grad_norm": 1.03125, + "learning_rate": 0.00044403418621675555, + "loss": 5.8456, + "mean_token_accuracy": 0.1654752418398857, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.140178108215332, + "epoch": 2.9600343790287926, + "grad_norm": 0.984375, + "learning_rate": 0.0004438145621590017, + "loss": 5.8073, + "mean_token_accuracy": 0.17526279389858246, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 6.028224134445191, + "epoch": 2.964331757627847, + "grad_norm": 1.109375, + "learning_rate": 0.00044359456947771857, + "loss": 5.7614, + "mean_token_accuracy": 0.1661372035741806, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.952836751937866, + "epoch": 2.9686291362269017, + "grad_norm": 1.1484375, + "learning_rate": 0.0004433742086532824, + "loss": 5.6712, + "mean_token_accuracy": 0.18851299732923507, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.098459720611572, + "epoch": 2.9729265148259563, + "grad_norm": 1.15625, + "learning_rate": 0.00044315348016687317, + "loss": 5.8038, + "mean_token_accuracy": 0.17163048237562178, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 6.039625978469848, + "epoch": 2.977223893425011, + "grad_norm": 1.046875, + "learning_rate": 0.0004429323845004736, + "loss": 5.7066, + "mean_token_accuracy": 0.17723663598299028, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.064740991592407, + "epoch": 2.9815212720240654, + "grad_norm": 0.94921875, + "learning_rate": 0.00044271092213686824, + "loss": 5.7313, + "mean_token_accuracy": 0.17582760155200958, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.119738626480102, + "epoch": 2.98581865062312, + "grad_norm": 0.8984375, + "learning_rate": 0.00044248909355964247, + "loss": 5.8843, + "mean_token_accuracy": 0.16779844611883163, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.1805627822875975, + "epoch": 2.9901160292221745, + "grad_norm": 1.0859375, + "learning_rate": 0.00044226689925318117, + "loss": 5.8958, + "mean_token_accuracy": 0.16598885059356688, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 6.034802579879761, + "epoch": 2.994413407821229, + "grad_norm": 1.0546875, + "learning_rate": 0.00044204433970266785, + "loss": 5.6993, + "mean_token_accuracy": 0.18884851187467575, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 6.0412510395050045, + "epoch": 2.9987107864202835, + "grad_norm": 1.0390625, + "learning_rate": 0.0004418214153940837, + "loss": 5.7915, + "mean_token_accuracy": 0.1731286823749542, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.094671514299181, + "epoch": 3.002578427159433, + "grad_norm": 0.87890625, + "learning_rate": 0.00044159812681420624, + "loss": 5.7345, + "mean_token_accuracy": 0.1751474059290356, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.1476243019104, + "epoch": 3.0068758057584875, + "grad_norm": 1.0390625, + "learning_rate": 0.0004413744744506086, + "loss": 5.5077, + "mean_token_accuracy": 0.1835872769355774, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.855848801028621, + "eval_loss": 6.045755863189697, + "eval_mean_token_accuracy": 0.16792396449290956, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0563, + "eval_samples_per_second": 1725.906, + "eval_steps_per_second": 215.921, + "step": 3500 + }, + { + "entropy": 6.019393825531006, + "epoch": 3.011173184357542, + "grad_norm": 1.0390625, + "learning_rate": 0.00044115045879165806, + "loss": 5.5828, + "mean_token_accuracy": 0.18049468696117402, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.042645025253296, + "epoch": 3.0154705629565965, + "grad_norm": 1.0625, + "learning_rate": 0.00044092608032651515, + "loss": 5.5465, + "mean_token_accuracy": 0.18014225363731384, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.056296157836914, + "epoch": 3.019767941555651, + "grad_norm": 0.95703125, + "learning_rate": 0.00044070133954513305, + "loss": 5.4969, + "mean_token_accuracy": 0.1933508113026619, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.078204870223999, + "epoch": 3.0240653201547056, + "grad_norm": 1.203125, + "learning_rate": 0.0004404762369382555, + "loss": 5.526, + "mean_token_accuracy": 0.18391967862844466, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 6.0515869140625, + "epoch": 3.02836269875376, + "grad_norm": 1.109375, + "learning_rate": 0.00044025077299741683, + "loss": 5.5016, + "mean_token_accuracy": 0.19308611005544662, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 6.015412378311157, + "epoch": 3.0326600773528147, + "grad_norm": 1.0859375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4997, + "mean_token_accuracy": 0.18891025483608245, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.964804553985596, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.5364, + "mean_token_accuracy": 0.18845383673906327, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.114687299728393, + "epoch": 3.041254834550924, + "grad_norm": 1.0078125, + "learning_rate": 0.0004395722180983036, + "loss": 5.5876, + "mean_token_accuracy": 0.18196578919887543, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.9505010604858395, + "epoch": 3.0455522131499784, + "grad_norm": 0.98828125, + "learning_rate": 0.00043934531375272535, + "loss": 5.3994, + "mean_token_accuracy": 0.20380107909440995, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.993015623092651, + "epoch": 3.049849591749033, + "grad_norm": 0.9296875, + "learning_rate": 0.00043911805054267015, + "loss": 5.5175, + "mean_token_accuracy": 0.18979651629924774, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.1458171844482425, + "epoch": 3.0541469703480875, + "grad_norm": 1.015625, + "learning_rate": 0.00043889042896439004, + "loss": 5.5275, + "mean_token_accuracy": 0.18725358247756957, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 6.006018257141113, + "epoch": 3.0584443489471425, + "grad_norm": 1.2421875, + "learning_rate": 0.00043866244951491946, + "loss": 5.4399, + "mean_token_accuracy": 0.20162247568368913, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 6.016952753067017, + "epoch": 3.062741727546197, + "grad_norm": 1.0859375, + "learning_rate": 0.00043843411269207445, + "loss": 5.4942, + "mean_token_accuracy": 0.1971167653799057, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.9416725635528564, + "epoch": 3.0670391061452515, + "grad_norm": 1.046875, + "learning_rate": 0.0004382054189944514, + "loss": 5.4333, + "mean_token_accuracy": 0.19149247109889983, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.9900328636169435, + "epoch": 3.071336484744306, + "grad_norm": 0.9921875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4947, + "mean_token_accuracy": 0.18396613895893096, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 6.03482666015625, + "epoch": 3.0756338633433606, + "grad_norm": 0.92578125, + "learning_rate": 0.0004377469629731518, + "loss": 5.4889, + "mean_token_accuracy": 0.18621663898229598, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 6.009872531890869, + "epoch": 3.079931241942415, + "grad_norm": 0.98828125, + "learning_rate": 0.0004375172016505599, + "loss": 5.4722, + "mean_token_accuracy": 0.18729298561811447, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 6.015996217727661, + "epoch": 3.0842286205414697, + "grad_norm": 0.96484375, + "learning_rate": 0.0004372870854553572, + "loss": 5.535, + "mean_token_accuracy": 0.19139505177736282, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 6.040276765823364, + "epoch": 3.0885259991405243, + "grad_norm": 1.046875, + "learning_rate": 0.0004370566148900255, + "loss": 5.5266, + "mean_token_accuracy": 0.19199742376804352, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 6.044233226776123, + "epoch": 3.092823377739579, + "grad_norm": 1.0234375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5934, + "mean_token_accuracy": 0.1833044856786728, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.956815242767334, + "epoch": 3.0971207563386334, + "grad_norm": 1.1484375, + "learning_rate": 0.0004365946126627699, + "loss": 5.4899, + "mean_token_accuracy": 0.19520556181669235, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 6.048838329315186, + "epoch": 3.101418134937688, + "grad_norm": 1.0078125, + "learning_rate": 0.00043636308200967433, + "loss": 5.4857, + "mean_token_accuracy": 0.19389465898275376, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.896581077575684, + "epoch": 3.1057155135367425, + "grad_norm": 0.984375, + "learning_rate": 0.0004361311990041039, + "loss": 5.3895, + "mean_token_accuracy": 0.19544197469949723, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.937729692459106, + "epoch": 3.110012892135797, + "grad_norm": 1.0546875, + "learning_rate": 0.00043589896415239843, + "loss": 5.4733, + "mean_token_accuracy": 0.19641588479280472, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 6.008415412902832, + "epoch": 3.1143102707348516, + "grad_norm": 0.95703125, + "learning_rate": 0.00043566637796166595, + "loss": 5.5318, + "mean_token_accuracy": 0.18539339154958726, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 6.041479587554932, + "epoch": 3.118607649333906, + "grad_norm": 1.0859375, + "learning_rate": 0.00043543344093978186, + "loss": 5.5769, + "mean_token_accuracy": 0.18712035566568375, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.977596187591553, + "epoch": 3.122905027932961, + "grad_norm": 1.046875, + "learning_rate": 0.00043520015359538745, + "loss": 5.438, + "mean_token_accuracy": 0.1976032465696335, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.904521131515503, + "epoch": 3.1272024065320156, + "grad_norm": 1.09375, + "learning_rate": 0.0004349665164378891, + "loss": 5.4965, + "mean_token_accuracy": 0.18549832254648208, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.961996459960938, + "epoch": 3.13149978513107, + "grad_norm": 1.046875, + "learning_rate": 0.00043473252997745684, + "loss": 5.5089, + "mean_token_accuracy": 0.18430595695972443, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 6.0388407707214355, + "epoch": 3.1357971637301247, + "grad_norm": 1.4453125, + "learning_rate": 0.00043449819472502366, + "loss": 5.4487, + "mean_token_accuracy": 0.18688230067491532, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.955649662017822, + "epoch": 3.1400945423291793, + "grad_norm": 1.0625, + "learning_rate": 0.0004342635111922841, + "loss": 5.5868, + "mean_token_accuracy": 0.18630024939775466, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.97322793006897, + "epoch": 3.144391920928234, + "grad_norm": 1.0703125, + "learning_rate": 0.0004340284798916931, + "loss": 5.4973, + "mean_token_accuracy": 0.18773317337036133, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.958513021469116, + "epoch": 3.1486892995272884, + "grad_norm": 0.953125, + "learning_rate": 0.0004337931013364653, + "loss": 5.4246, + "mean_token_accuracy": 0.19373546093702315, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.95462064743042, + "epoch": 3.152986678126343, + "grad_norm": 1.0625, + "learning_rate": 0.000433557376040573, + "loss": 5.4994, + "mean_token_accuracy": 0.1918413907289505, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 6.042338705062866, + "epoch": 3.1572840567253975, + "grad_norm": 1.0078125, + "learning_rate": 0.00043332130451874645, + "loss": 5.5563, + "mean_token_accuracy": 0.1914373368024826, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.98822922706604, + "epoch": 3.161581435324452, + "grad_norm": 0.90234375, + "learning_rate": 0.00043308488728647127, + "loss": 5.54, + "mean_token_accuracy": 0.18344997316598893, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.9039342403411865, + "epoch": 3.1658788139235066, + "grad_norm": 1.1484375, + "learning_rate": 0.0004328481248599882, + "loss": 5.4334, + "mean_token_accuracy": 0.19382288604974746, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 6.034891176223755, + "epoch": 3.170176192522561, + "grad_norm": 1.0546875, + "learning_rate": 0.0004326110177562918, + "loss": 5.5577, + "mean_token_accuracy": 0.18678940385580062, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.893950605392456, + "epoch": 3.1744735711216157, + "grad_norm": 1.15625, + "learning_rate": 0.00043237356649312926, + "loss": 5.4122, + "mean_token_accuracy": 0.19891896545886995, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.947980260848999, + "epoch": 3.17877094972067, + "grad_norm": 1.015625, + "learning_rate": 0.0004321357715889991, + "loss": 5.5514, + "mean_token_accuracy": 0.1866046443581581, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.995095252990723, + "epoch": 3.1830683283197247, + "grad_norm": 1.0859375, + "learning_rate": 0.0004318976335631505, + "loss": 5.4921, + "mean_token_accuracy": 0.19499906301498413, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.996333026885987, + "epoch": 3.1873657069187797, + "grad_norm": 1.0, + "learning_rate": 0.00043165915293558155, + "loss": 5.4857, + "mean_token_accuracy": 0.1897098481655121, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.911564064025879, + "epoch": 3.1916630855178343, + "grad_norm": 1.015625, + "learning_rate": 0.0004314203302270388, + "loss": 5.552, + "mean_token_accuracy": 0.18683515042066573, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 6.021612453460693, + "epoch": 3.195960464116889, + "grad_norm": 1.109375, + "learning_rate": 0.0004311811659590154, + "loss": 5.5092, + "mean_token_accuracy": 0.191811640560627, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 6.040820455551147, + "epoch": 3.2002578427159434, + "grad_norm": 0.875, + "learning_rate": 0.0004309416606537507, + "loss": 5.6735, + "mean_token_accuracy": 0.18092238456010817, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.995995426177979, + "epoch": 3.204555221314998, + "grad_norm": 1.0546875, + "learning_rate": 0.00043070181483422843, + "loss": 5.5563, + "mean_token_accuracy": 0.18278944492340088, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.931873416900634, + "epoch": 3.2088525999140525, + "grad_norm": 1.1640625, + "learning_rate": 0.000430461629024176, + "loss": 5.4941, + "mean_token_accuracy": 0.1947342798113823, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.919456720352173, + "epoch": 3.213149978513107, + "grad_norm": 1.1328125, + "learning_rate": 0.0004302211037480634, + "loss": 5.432, + "mean_token_accuracy": 0.19142798632383345, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.901779747009277, + "epoch": 3.2174473571121616, + "grad_norm": 1.1796875, + "learning_rate": 0.0004299802395311015, + "loss": 5.5273, + "mean_token_accuracy": 0.19364550411701204, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.916573190689087, + "epoch": 3.221744735711216, + "grad_norm": 1.1953125, + "learning_rate": 0.0004297390368992414, + "loss": 5.4426, + "mean_token_accuracy": 0.1955329716205597, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.99988751411438, + "epoch": 3.2260421143102707, + "grad_norm": 1.1640625, + "learning_rate": 0.00042949749637917353, + "loss": 5.487, + "mean_token_accuracy": 0.1926707699894905, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.944211053848266, + "epoch": 3.230339492909325, + "grad_norm": 0.95703125, + "learning_rate": 0.0004292556184983256, + "loss": 5.5001, + "mean_token_accuracy": 0.18788901716470718, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 6.045601272583008, + "epoch": 3.2346368715083798, + "grad_norm": 1.1171875, + "learning_rate": 0.0004290134037848623, + "loss": 5.6363, + "mean_token_accuracy": 0.1813679426908493, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.955678081512451, + "epoch": 3.2389342501074343, + "grad_norm": 1.125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4867, + "mean_token_accuracy": 0.19231866747140886, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.957758140563965, + "epoch": 3.243231628706489, + "grad_norm": 1.0546875, + "learning_rate": 0.00042852796597642455, + "loss": 5.4781, + "mean_token_accuracy": 0.1923646554350853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 6.057449293136597, + "epoch": 3.247529007305544, + "grad_norm": 1.0625, + "learning_rate": 0.0004282847439414522, + "loss": 5.6176, + "mean_token_accuracy": 0.17261463701725005, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 6.008208608627319, + "epoch": 3.2518263859045984, + "grad_norm": 1.046875, + "learning_rate": 0.0004280411871938664, + "loss": 5.593, + "mean_token_accuracy": 0.1863952949643135, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 6.041609096527099, + "epoch": 3.256123764503653, + "grad_norm": 1.1640625, + "learning_rate": 0.0004277972962654979, + "loss": 5.5183, + "mean_token_accuracy": 0.18469562530517578, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.943878412246704, + "epoch": 3.2604211431027075, + "grad_norm": 1.0390625, + "learning_rate": 0.0004275530716889069, + "loss": 5.5652, + "mean_token_accuracy": 0.18427515923976898, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 6.032454538345337, + "epoch": 3.264718521701762, + "grad_norm": 1.2109375, + "learning_rate": 0.0004273085139973822, + "loss": 5.6198, + "mean_token_accuracy": 0.17869567573070527, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 6.017523956298828, + "epoch": 3.2690159003008166, + "grad_norm": 1.1015625, + "learning_rate": 0.0004270636237249401, + "loss": 5.5322, + "mean_token_accuracy": 0.18812069296836853, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.979595184326172, + "epoch": 3.273313278899871, + "grad_norm": 1.0703125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5722, + "mean_token_accuracy": 0.18031454235315322, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 6.027545738220215, + "epoch": 3.2776106574989257, + "grad_norm": 1.0546875, + "learning_rate": 0.0004265728475769989, + "loss": 5.5313, + "mean_token_accuracy": 0.18603000342845916, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.958409976959229, + "epoch": 3.28190803609798, + "grad_norm": 0.94921875, + "learning_rate": 0.0004263269627731586, + "loss": 5.5149, + "mean_token_accuracy": 0.1968382939696312, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.907626962661743, + "epoch": 3.2862054146970348, + "grad_norm": 1.046875, + "learning_rate": 0.0004260807475317164, + "loss": 5.533, + "mean_token_accuracy": 0.1850649744272232, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 6.06142144203186, + "epoch": 3.2905027932960893, + "grad_norm": 0.984375, + "learning_rate": 0.0004258342023903081, + "loss": 5.6501, + "mean_token_accuracy": 0.17591869384050368, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.99991660118103, + "epoch": 3.294800171895144, + "grad_norm": 1.09375, + "learning_rate": 0.00042558732788728975, + "loss": 5.4251, + "mean_token_accuracy": 0.19917479604482652, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.907351541519165, + "epoch": 3.2990975504941984, + "grad_norm": 1.0703125, + "learning_rate": 0.00042534012456173643, + "loss": 5.4955, + "mean_token_accuracy": 0.19041050225496292, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.923426151275635, + "epoch": 3.303394929093253, + "grad_norm": 1.171875, + "learning_rate": 0.00042509259295344157, + "loss": 5.4776, + "mean_token_accuracy": 0.18866734802722931, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.954880619049073, + "epoch": 3.3076923076923075, + "grad_norm": 1.1875, + "learning_rate": 0.00042484473360291514, + "loss": 5.4812, + "mean_token_accuracy": 0.18148696422576904, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.907461214065552, + "epoch": 3.311989686291362, + "grad_norm": 1.09375, + "learning_rate": 0.00042459654705138294, + "loss": 5.5487, + "mean_token_accuracy": 0.1898924693465233, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9601836681365965, + "epoch": 3.316287064890417, + "grad_norm": 1.078125, + "learning_rate": 0.0004243480338407853, + "loss": 5.5086, + "mean_token_accuracy": 0.1929486498236656, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.963890552520752, + "epoch": 3.3205844434894716, + "grad_norm": 1.015625, + "learning_rate": 0.0004240991945137755, + "loss": 5.5054, + "mean_token_accuracy": 0.18731537461280823, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.950737476348877, + "epoch": 3.324881822088526, + "grad_norm": 1.0703125, + "learning_rate": 0.00042385002961371944, + "loss": 5.4952, + "mean_token_accuracy": 0.19253836423158646, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 6.046236276626587, + "epoch": 3.3291792006875807, + "grad_norm": 1.125, + "learning_rate": 0.0004236005396846935, + "loss": 5.6098, + "mean_token_accuracy": 0.18545194268226622, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 6.006177759170532, + "epoch": 3.333476579286635, + "grad_norm": 1.078125, + "learning_rate": 0.00042335072527148406, + "loss": 5.5791, + "mean_token_accuracy": 0.1877056986093521, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.879164409637451, + "epoch": 3.3377739578856898, + "grad_norm": 1.203125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5594, + "mean_token_accuracy": 0.18650871366262436, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.980384731292725, + "epoch": 3.3420713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0004228501251752011, + "loss": 5.5078, + "mean_token_accuracy": 0.1914823979139328, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.989449071884155, + "epoch": 3.346368715083799, + "grad_norm": 1.03125, + "learning_rate": 0.00042259934058523814, + "loss": 5.5087, + "mean_token_accuracy": 0.18367088735103607, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.979048013687134, + "epoch": 3.3506660936828534, + "grad_norm": 1.140625, + "learning_rate": 0.00042234823369731027, + "loss": 5.4773, + "mean_token_accuracy": 0.1893484875559807, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.909920740127563, + "epoch": 3.354963472281908, + "grad_norm": 1.0703125, + "learning_rate": 0.00042209680505973465, + "loss": 5.5042, + "mean_token_accuracy": 0.1931456595659256, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.919304323196411, + "epoch": 3.3592608508809625, + "grad_norm": 1.046875, + "learning_rate": 0.0004218450552215308, + "loss": 5.574, + "mean_token_accuracy": 0.1899503216147423, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.992146730422974, + "epoch": 3.363558229480017, + "grad_norm": 0.96875, + "learning_rate": 0.0004215929847324199, + "loss": 5.6349, + "mean_token_accuracy": 0.17933368384838105, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 6.022987604141235, + "epoch": 3.3678556080790716, + "grad_norm": 1.078125, + "learning_rate": 0.000421340594142823, + "loss": 5.4385, + "mean_token_accuracy": 0.19864116609096527, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8856823444366455, + "epoch": 3.3721529866781266, + "grad_norm": 1.1640625, + "learning_rate": 0.00042108788400386035, + "loss": 5.5106, + "mean_token_accuracy": 0.18838870525360107, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.962529850006104, + "epoch": 3.376450365277181, + "grad_norm": 0.9375, + "learning_rate": 0.0004208348548673498, + "loss": 5.594, + "mean_token_accuracy": 0.19215150624513627, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 6.050545597076416, + "epoch": 3.3807477438762357, + "grad_norm": 1.1015625, + "learning_rate": 0.000420581507285806, + "loss": 5.5323, + "mean_token_accuracy": 0.17952318042516707, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.88720850944519, + "epoch": 3.38504512247529, + "grad_norm": 0.9921875, + "learning_rate": 0.0004203278418124386, + "loss": 5.4662, + "mean_token_accuracy": 0.20225470662117004, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.8799656391143795, + "epoch": 3.3893425010743448, + "grad_norm": 0.98828125, + "learning_rate": 0.0004200738590011518, + "loss": 5.4692, + "mean_token_accuracy": 0.1973979264497757, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.9314147472381595, + "epoch": 3.3936398796733993, + "grad_norm": 1.1171875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5841, + "mean_token_accuracy": 0.1857954144477844, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.935078239440918, + "epoch": 3.397937258272454, + "grad_norm": 1.0625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5974, + "mean_token_accuracy": 0.175727042555809, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.895944023132325, + "epoch": 3.4022346368715084, + "grad_norm": 1.0546875, + "learning_rate": 0.0004193100120892013, + "loss": 5.44, + "mean_token_accuracy": 0.19905115962028502, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.981336355209351, + "epoch": 3.406532015470563, + "grad_norm": 0.9765625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5999, + "mean_token_accuracy": 0.18368346244096756, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.998037719726563, + "epoch": 3.4108293940696175, + "grad_norm": 1.2109375, + "learning_rate": 0.00041879920431100347, + "loss": 5.5623, + "mean_token_accuracy": 0.18161152303218842, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.957395601272583, + "epoch": 3.415126772668672, + "grad_norm": 1.09375, + "learning_rate": 0.0004185433291429036, + "loss": 5.5985, + "mean_token_accuracy": 0.1867300182580948, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.984077501296997, + "epoch": 3.4194241512677266, + "grad_norm": 1.1171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5695, + "mean_token_accuracy": 0.18295224159955978, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.846696996688843, + "epoch": 3.423721529866781, + "grad_norm": 1.03125, + "learning_rate": 0.0004180306390423462, + "loss": 5.5286, + "mean_token_accuracy": 0.18906760662794114, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.9538819789886475, + "epoch": 3.4280189084658357, + "grad_norm": 1.046875, + "learning_rate": 0.00041777382522939884, + "loss": 5.5898, + "mean_token_accuracy": 0.18908908665180207, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.988106775283813, + "epoch": 3.4323162870648902, + "grad_norm": 0.953125, + "learning_rate": 0.00041751669965548344, + "loss": 5.6046, + "mean_token_accuracy": 0.1803540512919426, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9721503257751465, + "epoch": 3.4366136656639448, + "grad_norm": 1.1328125, + "learning_rate": 0.00041725926288205945, + "loss": 5.6267, + "mean_token_accuracy": 0.17775601744651795, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.739501470918054, + "eval_loss": 6.0194196701049805, + "eval_mean_token_accuracy": 0.16980059876165413, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0562, + "eval_samples_per_second": 1725.976, + "eval_steps_per_second": 215.929, + "step": 4000 + }, + { + "entropy": 5.989626407623291, + "epoch": 3.4409110442629998, + "grad_norm": 1.03125, + "learning_rate": 0.0004170015154712658, + "loss": 5.5685, + "mean_token_accuracy": 0.18304531574249266, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.950127267837525, + "epoch": 3.4452084228620543, + "grad_norm": 0.9609375, + "learning_rate": 0.00041674345798591993, + "loss": 5.5915, + "mean_token_accuracy": 0.18336501866579055, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 6.0112659454345705, + "epoch": 3.449505801461109, + "grad_norm": 1.0078125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5799, + "mean_token_accuracy": 0.1913402944803238, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.903563404083252, + "epoch": 3.4538031800601634, + "grad_norm": 0.95703125, + "learning_rate": 0.0004162264150462247, + "loss": 5.5439, + "mean_token_accuracy": 0.18234843164682388, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 6.008734226226807, + "epoch": 3.458100558659218, + "grad_norm": 1.0703125, + "learning_rate": 0.00041596743072089065, + "loss": 5.5741, + "mean_token_accuracy": 0.18414125293493272, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.049357938766479, + "epoch": 3.4623979372582725, + "grad_norm": 1.140625, + "learning_rate": 0.000415708138579032, + "loss": 5.5484, + "mean_token_accuracy": 0.17788545042276382, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.88419828414917, + "epoch": 3.466695315857327, + "grad_norm": 1.0625, + "learning_rate": 0.00041544853918683923, + "loss": 5.603, + "mean_token_accuracy": 0.17848607450723647, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.972914791107177, + "epoch": 3.4709926944563816, + "grad_norm": 1.0390625, + "learning_rate": 0.0004151886331111737, + "loss": 5.6585, + "mean_token_accuracy": 0.17960806488990783, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.9350839138031, + "epoch": 3.475290073055436, + "grad_norm": 1.15625, + "learning_rate": 0.00041492842091956646, + "loss": 5.4909, + "mean_token_accuracy": 0.19007912576198577, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 6.046515941619873, + "epoch": 3.4795874516544907, + "grad_norm": 1.0546875, + "learning_rate": 0.0004146679031802167, + "loss": 5.6127, + "mean_token_accuracy": 0.18493092954158782, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.903052806854248, + "epoch": 3.4838848302535452, + "grad_norm": 1.1328125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4767, + "mean_token_accuracy": 0.19377027302980424, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.926623153686523, + "epoch": 3.4881822088525998, + "grad_norm": 1.0078125, + "learning_rate": 0.0004141459533344226, + "loss": 5.5713, + "mean_token_accuracy": 0.18479437232017518, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.973228168487549, + "epoch": 3.4924795874516543, + "grad_norm": 1.03125, + "learning_rate": 0.00041388452236770795, + "loss": 5.5426, + "mean_token_accuracy": 0.18190130293369294, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.880434799194336, + "epoch": 3.4967769660507093, + "grad_norm": 1.0703125, + "learning_rate": 0.00041362278813270823, + "loss": 5.403, + "mean_token_accuracy": 0.20291406512260438, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.973664808273315, + "epoch": 3.501074344649764, + "grad_norm": 0.98828125, + "learning_rate": 0.00041336075120094616, + "loss": 5.6507, + "mean_token_accuracy": 0.17217092961072922, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 6.015513610839844, + "epoch": 3.5053717232488184, + "grad_norm": 1.0078125, + "learning_rate": 0.00041309841214460586, + "loss": 5.6251, + "mean_token_accuracy": 0.18172844350337983, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.9306933879852295, + "epoch": 3.509669101847873, + "grad_norm": 1.0625, + "learning_rate": 0.0004128357715365309, + "loss": 5.5403, + "mean_token_accuracy": 0.18941463977098466, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.9411945819854735, + "epoch": 3.5139664804469275, + "grad_norm": 1.0234375, + "learning_rate": 0.00041257282995022345, + "loss": 5.5287, + "mean_token_accuracy": 0.19064364582300186, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.91850061416626, + "epoch": 3.518263859045982, + "grad_norm": 1.28125, + "learning_rate": 0.0004123095879598426, + "loss": 5.5376, + "mean_token_accuracy": 0.1826656237244606, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.951149988174438, + "epoch": 3.5225612376450366, + "grad_norm": 1.015625, + "learning_rate": 0.00041204604614020397, + "loss": 5.6242, + "mean_token_accuracy": 0.1754978582262993, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 6.022586059570313, + "epoch": 3.526858616244091, + "grad_norm": 1.03125, + "learning_rate": 0.0004117822050667773, + "loss": 5.6609, + "mean_token_accuracy": 0.1797046795487404, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.999763250350952, + "epoch": 3.5311559948431457, + "grad_norm": 1.0625, + "learning_rate": 0.00041151806531568617, + "loss": 5.594, + "mean_token_accuracy": 0.1838526800274849, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.927717494964599, + "epoch": 3.5354533734422002, + "grad_norm": 0.984375, + "learning_rate": 0.00041125362746370625, + "loss": 5.5954, + "mean_token_accuracy": 0.18438049405813217, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 6.04001750946045, + "epoch": 3.5397507520412548, + "grad_norm": 1.0546875, + "learning_rate": 0.0004109888920882639, + "loss": 5.5471, + "mean_token_accuracy": 0.1918780490756035, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.938482570648193, + "epoch": 3.5440481306403093, + "grad_norm": 0.984375, + "learning_rate": 0.0004107238597674356, + "loss": 5.5585, + "mean_token_accuracy": 0.1836171880364418, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.898692846298218, + "epoch": 3.548345509239364, + "grad_norm": 0.98828125, + "learning_rate": 0.000410458531079946, + "loss": 5.5004, + "mean_token_accuracy": 0.19434000551700592, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.958231353759766, + "epoch": 3.5526428878384184, + "grad_norm": 1.125, + "learning_rate": 0.0004101929066051668, + "loss": 5.6095, + "mean_token_accuracy": 0.1837508738040924, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.962691593170166, + "epoch": 3.556940266437473, + "grad_norm": 1.0625, + "learning_rate": 0.0004099269869231157, + "loss": 5.511, + "mean_token_accuracy": 0.1855240523815155, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.934520578384399, + "epoch": 3.5612376450365275, + "grad_norm": 1.0, + "learning_rate": 0.00040966077261445495, + "loss": 5.5316, + "mean_token_accuracy": 0.1795806884765625, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.998489856719971, + "epoch": 3.565535023635582, + "grad_norm": 1.2265625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4965, + "mean_token_accuracy": 0.18766231685876847, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.9573204040527346, + "epoch": 3.5698324022346366, + "grad_norm": 1.0390625, + "learning_rate": 0.00040912746244316944, + "loss": 5.634, + "mean_token_accuracy": 0.18089795708656312, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.945523595809936, + "epoch": 3.5741297808336916, + "grad_norm": 0.98828125, + "learning_rate": 0.00040886036774508095, + "loss": 5.5152, + "mean_token_accuracy": 0.1863349363207817, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.989820671081543, + "epoch": 3.578427159432746, + "grad_norm": 1.046875, + "learning_rate": 0.0004085929807494527, + "loss": 5.5613, + "mean_token_accuracy": 0.1877506971359253, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.926433086395264, + "epoch": 3.5827245380318007, + "grad_norm": 0.96484375, + "learning_rate": 0.0004083253020401512, + "loss": 5.4728, + "mean_token_accuracy": 0.1965028926730156, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.923580551147461, + "epoch": 3.5870219166308552, + "grad_norm": 1.171875, + "learning_rate": 0.0004080573322016797, + "loss": 5.4256, + "mean_token_accuracy": 0.19330667108297347, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.883316516876221, + "epoch": 3.59131929522991, + "grad_norm": 1.0625, + "learning_rate": 0.0004077890718191773, + "loss": 5.4469, + "mean_token_accuracy": 0.1911528155207634, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.9072150707244875, + "epoch": 3.5956166738289643, + "grad_norm": 1.140625, + "learning_rate": 0.00040752052147841733, + "loss": 5.5042, + "mean_token_accuracy": 0.19261341094970702, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.955031156539917, + "epoch": 3.599914052428019, + "grad_norm": 1.015625, + "learning_rate": 0.0004072516817658065, + "loss": 5.5253, + "mean_token_accuracy": 0.18929073065519333, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.982736396789551, + "epoch": 3.6042114310270734, + "grad_norm": 1.09375, + "learning_rate": 0.0004069825532683831, + "loss": 5.5501, + "mean_token_accuracy": 0.18622905462980271, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.894542169570923, + "epoch": 3.608508809626128, + "grad_norm": 0.984375, + "learning_rate": 0.00040671313657381645, + "loss": 5.4871, + "mean_token_accuracy": 0.1976424276828766, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.854848337173462, + "epoch": 3.6128061882251825, + "grad_norm": 1.0546875, + "learning_rate": 0.00040644343227040473, + "loss": 5.4499, + "mean_token_accuracy": 0.19116452783346177, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.921643161773682, + "epoch": 3.617103566824237, + "grad_norm": 0.98828125, + "learning_rate": 0.0004061734409470745, + "loss": 5.6281, + "mean_token_accuracy": 0.1854175865650177, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.979614973068237, + "epoch": 3.621400945423292, + "grad_norm": 1.046875, + "learning_rate": 0.0004059031631933788, + "loss": 5.5326, + "mean_token_accuracy": 0.1888209328055382, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.956178855895996, + "epoch": 3.6256983240223466, + "grad_norm": 1.015625, + "learning_rate": 0.00040563259959949615, + "loss": 5.6886, + "mean_token_accuracy": 0.17732578068971633, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 6.071782970428467, + "epoch": 3.629995702621401, + "grad_norm": 1.0234375, + "learning_rate": 0.0004053617507562295, + "loss": 5.5146, + "mean_token_accuracy": 0.1861334875226021, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.960998058319092, + "epoch": 3.6342930812204557, + "grad_norm": 1.1640625, + "learning_rate": 0.00040509061725500426, + "loss": 5.544, + "mean_token_accuracy": 0.18653534203767777, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.873150777816773, + "epoch": 3.6385904598195102, + "grad_norm": 1.0546875, + "learning_rate": 0.0004048191996878677, + "loss": 5.5444, + "mean_token_accuracy": 0.1873533010482788, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.888010787963867, + "epoch": 3.642887838418565, + "grad_norm": 1.0546875, + "learning_rate": 0.00040454749864748734, + "loss": 5.4855, + "mean_token_accuracy": 0.19170088917016984, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.952953052520752, + "epoch": 3.6471852170176193, + "grad_norm": 0.953125, + "learning_rate": 0.0004042755147271496, + "loss": 5.424, + "mean_token_accuracy": 0.1897352635860443, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.813195466995239, + "epoch": 3.651482595616674, + "grad_norm": 0.94140625, + "learning_rate": 0.0004040032485207587, + "loss": 5.5401, + "mean_token_accuracy": 0.18509043604135514, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.967707347869873, + "epoch": 3.6557799742157284, + "grad_norm": 0.96484375, + "learning_rate": 0.0004037307006228352, + "loss": 5.4716, + "mean_token_accuracy": 0.19402939975261688, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.913791751861572, + "epoch": 3.660077352814783, + "grad_norm": 1.046875, + "learning_rate": 0.0004034578716285147, + "loss": 5.4536, + "mean_token_accuracy": 0.19273238033056259, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.868339681625367, + "epoch": 3.6643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4793, + "mean_token_accuracy": 0.1922049939632416, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.939763927459717, + "epoch": 3.668672110012892, + "grad_norm": 1.1953125, + "learning_rate": 0.0004029113727342933, + "loss": 5.5074, + "mean_token_accuracy": 0.19062846302986144, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.878051853179931, + "epoch": 3.6729694886119466, + "grad_norm": 1.0, + "learning_rate": 0.00040263770402772746, + "loss": 5.4912, + "mean_token_accuracy": 0.1884067326784134, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.922876453399658, + "epoch": 3.677266867211001, + "grad_norm": 1.140625, + "learning_rate": 0.0004023637566114325, + "loss": 5.5455, + "mean_token_accuracy": 0.18928359299898148, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.91483097076416, + "epoch": 3.6815642458100557, + "grad_norm": 1.0859375, + "learning_rate": 0.0004020895310835999, + "loss": 5.4927, + "mean_token_accuracy": 0.18310107737779618, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.965200185775757, + "epoch": 3.6858616244091102, + "grad_norm": 0.9921875, + "learning_rate": 0.00040181502804302865, + "loss": 5.5224, + "mean_token_accuracy": 0.1860280752182007, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.891399002075195, + "epoch": 3.690159003008165, + "grad_norm": 1.1171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.5087, + "mean_token_accuracy": 0.1911735564470291, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.912160873413086, + "epoch": 3.6944563816072193, + "grad_norm": 1.109375, + "learning_rate": 0.0004012651918218947, + "loss": 5.5471, + "mean_token_accuracy": 0.17879761159420013, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.985769987106323, + "epoch": 3.6987537602062743, + "grad_norm": 1.0390625, + "learning_rate": 0.0004009898598419544, + "loss": 5.6809, + "mean_token_accuracy": 0.1700455442070961, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.999387121200561, + "epoch": 3.703051138805329, + "grad_norm": 1.1015625, + "learning_rate": 0.000400714252750518, + "loss": 5.6425, + "mean_token_accuracy": 0.1807677462697029, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.981132459640503, + "epoch": 3.7073485174043834, + "grad_norm": 1.0625, + "learning_rate": 0.0004004383711494011, + "loss": 5.5426, + "mean_token_accuracy": 0.19087505489587783, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.959196376800537, + "epoch": 3.711645896003438, + "grad_norm": 1.015625, + "learning_rate": 0.0004001622156410189, + "loss": 5.5691, + "mean_token_accuracy": 0.1856666773557663, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.884228134155274, + "epoch": 3.7159432746024925, + "grad_norm": 1.03125, + "learning_rate": 0.00039988578682838467, + "loss": 5.526, + "mean_token_accuracy": 0.18373223543167114, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.928623342514038, + "epoch": 3.720240653201547, + "grad_norm": 1.0078125, + "learning_rate": 0.00039960908531510843, + "loss": 5.5012, + "mean_token_accuracy": 0.1894019216299057, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.9985411167144775, + "epoch": 3.7245380318006016, + "grad_norm": 1.0859375, + "learning_rate": 0.0003993321117053956, + "loss": 5.6197, + "mean_token_accuracy": 0.17805870920419692, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 6.02107458114624, + "epoch": 3.728835410399656, + "grad_norm": 1.078125, + "learning_rate": 0.00039905486660404604, + "loss": 5.5654, + "mean_token_accuracy": 0.1820268526673317, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.889177703857422, + "epoch": 3.7331327889987107, + "grad_norm": 0.97265625, + "learning_rate": 0.00039877735061645206, + "loss": 5.513, + "mean_token_accuracy": 0.196246138215065, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.958146762847901, + "epoch": 3.7374301675977653, + "grad_norm": 1.125, + "learning_rate": 0.0003984995643485977, + "loss": 5.5566, + "mean_token_accuracy": 0.18338315188884735, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 6.022622728347779, + "epoch": 3.74172754619682, + "grad_norm": 1.3984375, + "learning_rate": 0.00039822150840705716, + "loss": 5.5562, + "mean_token_accuracy": 0.18958212733268737, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.994214487075806, + "epoch": 3.746024924795875, + "grad_norm": 1.1015625, + "learning_rate": 0.00039794318339899347, + "loss": 5.6467, + "mean_token_accuracy": 0.1848492443561554, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.949737405776977, + "epoch": 3.7503223033949293, + "grad_norm": 1.0234375, + "learning_rate": 0.00039766458993215726, + "loss": 5.5959, + "mean_token_accuracy": 0.1823095202445984, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.898332262039185, + "epoch": 3.754619681993984, + "grad_norm": 1.0078125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4942, + "mean_token_accuracy": 0.19010726660490035, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.946810245513916, + "epoch": 3.7589170605930384, + "grad_norm": 0.984375, + "learning_rate": 0.000397106600056099, + "loss": 5.5605, + "mean_token_accuracy": 0.18583073914051057, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.899966716766357, + "epoch": 3.763214439192093, + "grad_norm": 0.95703125, + "learning_rate": 0.0003968272048653039, + "loss": 5.4529, + "mean_token_accuracy": 0.19802996814250945, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.831211233139038, + "epoch": 3.7675118177911475, + "grad_norm": 0.9609375, + "learning_rate": 0.0003965475436525873, + "loss": 5.4713, + "mean_token_accuracy": 0.19392775595188141, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.872487020492554, + "epoch": 3.771809196390202, + "grad_norm": 0.96875, + "learning_rate": 0.0003962676170286174, + "loss": 5.4495, + "mean_token_accuracy": 0.18794787377119065, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.9592584609985355, + "epoch": 3.7761065749892566, + "grad_norm": 1.1640625, + "learning_rate": 0.00039598742560464223, + "loss": 5.5228, + "mean_token_accuracy": 0.18831065595149993, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.957420301437378, + "epoch": 3.780403953588311, + "grad_norm": 1.171875, + "learning_rate": 0.0003957069699924877, + "loss": 5.5413, + "mean_token_accuracy": 0.18056829422712325, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.942235231399536, + "epoch": 3.7847013321873657, + "grad_norm": 1.0390625, + "learning_rate": 0.000395426250804557, + "loss": 5.5209, + "mean_token_accuracy": 0.1986977517604828, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.904413080215454, + "epoch": 3.7889987107864203, + "grad_norm": 0.98828125, + "learning_rate": 0.00039514526865382847, + "loss": 5.5195, + "mean_token_accuracy": 0.19274225682020188, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.900614929199219, + "epoch": 3.793296089385475, + "grad_norm": 1.078125, + "learning_rate": 0.0003948640241538548, + "loss": 5.4445, + "mean_token_accuracy": 0.19299122989177703, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.911832284927368, + "epoch": 3.7975934679845293, + "grad_norm": 1.2109375, + "learning_rate": 0.0003945825179187617, + "loss": 5.5518, + "mean_token_accuracy": 0.1861799567937851, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.990826416015625, + "epoch": 3.801890846583584, + "grad_norm": 1.15625, + "learning_rate": 0.00039430075056324604, + "loss": 5.4964, + "mean_token_accuracy": 0.19839415252208709, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.95226559638977, + "epoch": 3.8061882251826384, + "grad_norm": 1.046875, + "learning_rate": 0.00039401872270257546, + "loss": 5.5897, + "mean_token_accuracy": 0.18173896372318268, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.9306341171264645, + "epoch": 3.810485603781693, + "grad_norm": 1.03125, + "learning_rate": 0.00039373643495258567, + "loss": 5.6137, + "mean_token_accuracy": 0.18779614865779876, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.903824520111084, + "epoch": 3.8147829823807475, + "grad_norm": 1.0859375, + "learning_rate": 0.00039345388792968056, + "loss": 5.5284, + "mean_token_accuracy": 0.19737044125795364, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.98727502822876, + "epoch": 3.819080360979802, + "grad_norm": 1.1796875, + "learning_rate": 0.00039317108225082984, + "loss": 5.6364, + "mean_token_accuracy": 0.1810362756252289, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.89173469543457, + "epoch": 3.8233777395788566, + "grad_norm": 1.140625, + "learning_rate": 0.00039288801853356806, + "loss": 5.5944, + "mean_token_accuracy": 0.18381374925374985, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.9480987071990965, + "epoch": 3.8276751181779116, + "grad_norm": 1.1796875, + "learning_rate": 0.0003926046973959932, + "loss": 5.4312, + "mean_token_accuracy": 0.19819699674844743, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.908696889877319, + "epoch": 3.831972496776966, + "grad_norm": 0.98828125, + "learning_rate": 0.0003923211194567654, + "loss": 5.6599, + "mean_token_accuracy": 0.18412704020738602, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.9504638671875, + "epoch": 3.8362698753760207, + "grad_norm": 1.1015625, + "learning_rate": 0.00039203728533510556, + "loss": 5.5082, + "mean_token_accuracy": 0.188208931684494, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.88679313659668, + "epoch": 3.8405672539750753, + "grad_norm": 1.1015625, + "learning_rate": 0.000391753195650794, + "loss": 5.5426, + "mean_token_accuracy": 0.18362973332405091, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.902078151702881, + "epoch": 3.84486463257413, + "grad_norm": 1.0234375, + "learning_rate": 0.00039146885102416895, + "loss": 5.539, + "mean_token_accuracy": 0.18678168654441835, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.935784244537354, + "epoch": 3.8491620111731844, + "grad_norm": 1.078125, + "learning_rate": 0.00039118425207612553, + "loss": 5.6157, + "mean_token_accuracy": 0.1845711052417755, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.868662357330322, + "epoch": 3.853459389772239, + "grad_norm": 1.0546875, + "learning_rate": 0.00039089939942811396, + "loss": 5.482, + "mean_token_accuracy": 0.19268393218517305, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.988348579406738, + "epoch": 3.8577567683712934, + "grad_norm": 1.0078125, + "learning_rate": 0.00039061429370213863, + "loss": 5.5312, + "mean_token_accuracy": 0.18928302526474, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.818091154098511, + "epoch": 3.862054146970348, + "grad_norm": 1.0703125, + "learning_rate": 0.00039032893552075646, + "loss": 5.4338, + "mean_token_accuracy": 0.1974863141775131, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.820233726501465, + "epoch": 3.8663515255694025, + "grad_norm": 1.1640625, + "learning_rate": 0.0003900433255070758, + "loss": 5.5124, + "mean_token_accuracy": 0.19318781048059464, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.745309154192607, + "eval_loss": 5.964412689208984, + "eval_mean_token_accuracy": 0.17343190230160682, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.2641, + "eval_samples_per_second": 1567.53, + "eval_steps_per_second": 196.107, + "step": 4500 + }, + { + "entropy": 5.962471675872803, + "epoch": 3.870648904168457, + "grad_norm": 1.046875, + "learning_rate": 0.00038975746428475454, + "loss": 5.4774, + "mean_token_accuracy": 0.19070976674556733, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.985160446166992, + "epoch": 3.874946282767512, + "grad_norm": 1.125, + "learning_rate": 0.00038947135247799955, + "loss": 5.4989, + "mean_token_accuracy": 0.1912393316626549, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.9148375511169435, + "epoch": 3.8792436613665666, + "grad_norm": 1.0078125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4861, + "mean_token_accuracy": 0.19183243215084075, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.884652423858642, + "epoch": 3.883541039965621, + "grad_norm": 1.1484375, + "learning_rate": 0.000388898379610749, + "loss": 5.5336, + "mean_token_accuracy": 0.18514965176582338, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.899249696731568, + "epoch": 3.8878384185646757, + "grad_norm": 1.0703125, + "learning_rate": 0.0003886115198013973, + "loss": 5.5341, + "mean_token_accuracy": 0.19364315569400786, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.935558700561524, + "epoch": 3.8921357971637303, + "grad_norm": 1.109375, + "learning_rate": 0.0003883244119098965, + "loss": 5.6566, + "mean_token_accuracy": 0.17857892513275148, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.923916244506836, + "epoch": 3.896433175762785, + "grad_norm": 1.0234375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4709, + "mean_token_accuracy": 0.19344521462917327, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.9532630920410154, + "epoch": 3.9007305543618394, + "grad_norm": 1.0625, + "learning_rate": 0.00038774945438870337, + "loss": 5.6209, + "mean_token_accuracy": 0.1822944015264511, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.920027780532837, + "epoch": 3.905027932960894, + "grad_norm": 1.1015625, + "learning_rate": 0.00038746160601448845, + "loss": 5.473, + "mean_token_accuracy": 0.1911543294787407, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.858027553558349, + "epoch": 3.9093253115599484, + "grad_norm": 0.97265625, + "learning_rate": 0.0003871735120690766, + "loss": 5.5276, + "mean_token_accuracy": 0.19188787639141083, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.968813753128051, + "epoch": 3.913622690159003, + "grad_norm": 1.0625, + "learning_rate": 0.0003868851731815497, + "loss": 5.5723, + "mean_token_accuracy": 0.18731185644865037, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.961661005020142, + "epoch": 3.9179200687580575, + "grad_norm": 1.1484375, + "learning_rate": 0.0003865965899815247, + "loss": 5.5714, + "mean_token_accuracy": 0.18448397666215896, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.880784559249878, + "epoch": 3.922217447357112, + "grad_norm": 1.0859375, + "learning_rate": 0.0003863077630991518, + "loss": 5.4645, + "mean_token_accuracy": 0.1960570365190506, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.83483772277832, + "epoch": 3.9265148259561666, + "grad_norm": 1.046875, + "learning_rate": 0.0003860186931651139, + "loss": 5.5223, + "mean_token_accuracy": 0.18814983665943147, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.941116905212402, + "epoch": 3.930812204555221, + "grad_norm": 1.03125, + "learning_rate": 0.0003857293808106238, + "loss": 5.5861, + "mean_token_accuracy": 0.18480976521968842, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.940814352035522, + "epoch": 3.9351095831542757, + "grad_norm": 1.0078125, + "learning_rate": 0.0003854398266674241, + "loss": 5.4419, + "mean_token_accuracy": 0.19702621549367905, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.90321455001831, + "epoch": 3.9394069617533303, + "grad_norm": 1.125, + "learning_rate": 0.00038515003136778544, + "loss": 5.553, + "mean_token_accuracy": 0.18494745641946791, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.907242012023926, + "epoch": 3.943704340352385, + "grad_norm": 1.0703125, + "learning_rate": 0.00038485999554450483, + "loss": 5.5331, + "mean_token_accuracy": 0.18324975073337554, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.821186304092407, + "epoch": 3.9480017189514394, + "grad_norm": 1.125, + "learning_rate": 0.00038456971983090454, + "loss": 5.453, + "mean_token_accuracy": 0.19641250371932983, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.882057619094849, + "epoch": 3.9522990975504944, + "grad_norm": 1.078125, + "learning_rate": 0.0003842792048608309, + "loss": 5.4862, + "mean_token_accuracy": 0.1973177045583725, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.970648622512817, + "epoch": 3.956596476149549, + "grad_norm": 0.9921875, + "learning_rate": 0.0003839884512686523, + "loss": 5.5322, + "mean_token_accuracy": 0.1901967242360115, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.885459852218628, + "epoch": 3.9608938547486034, + "grad_norm": 1.0546875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5725, + "mean_token_accuracy": 0.18121236711740493, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.966006803512573, + "epoch": 3.965191233347658, + "grad_norm": 0.96484375, + "learning_rate": 0.00038340623075805875, + "loss": 5.512, + "mean_token_accuracy": 0.18635776340961457, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.978103303909302, + "epoch": 3.9694886119467125, + "grad_norm": 1.109375, + "learning_rate": 0.00038311476511098053, + "loss": 5.5444, + "mean_token_accuracy": 0.1931615486741066, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.88284740447998, + "epoch": 3.973785990545767, + "grad_norm": 1.09375, + "learning_rate": 0.0003828230633844685, + "loss": 5.5642, + "mean_token_accuracy": 0.1885887861251831, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.928213977813721, + "epoch": 3.9780833691448216, + "grad_norm": 1.140625, + "learning_rate": 0.00038253112621548243, + "loss": 5.5183, + "mean_token_accuracy": 0.18407279402017593, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.955349254608154, + "epoch": 3.982380747743876, + "grad_norm": 1.046875, + "learning_rate": 0.0003822389542414966, + "loss": 5.541, + "mean_token_accuracy": 0.1865914523601532, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.922438764572144, + "epoch": 3.9866781263429307, + "grad_norm": 1.078125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4861, + "mean_token_accuracy": 0.18929156064987182, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.887250232696533, + "epoch": 3.9909755049419853, + "grad_norm": 0.98828125, + "learning_rate": 0.000381653908430984, + "loss": 5.5575, + "mean_token_accuracy": 0.18391502797603607, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.968876838684082, + "epoch": 3.99527288354104, + "grad_norm": 1.03125, + "learning_rate": 0.0003813610358719634, + "loss": 5.5495, + "mean_token_accuracy": 0.1834430143237114, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.918107986450195, + "epoch": 3.999570262140095, + "grad_norm": 0.99609375, + "learning_rate": 0.00038106793106295266, + "loss": 5.5068, + "mean_token_accuracy": 0.19659096896648406, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.86531400680542, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.2898, + "mean_token_accuracy": 0.20586958858701918, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.880648136138916, + "epoch": 4.007735281478298, + "grad_norm": 0.96484375, + "learning_rate": 0.0003804810272555612, + "loss": 5.2641, + "mean_token_accuracy": 0.20031324923038482, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.8310387134552, + "epoch": 4.012032660077352, + "grad_norm": 1.1328125, + "learning_rate": 0.0003801872295387439, + "loss": 5.226, + "mean_token_accuracy": 0.2162238046526909, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.917058992385864, + "epoch": 4.016330038676408, + "grad_norm": 1.046875, + "learning_rate": 0.0003798932021350603, + "loss": 5.3044, + "mean_token_accuracy": 0.20220148265361787, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.9035172939300535, + "epoch": 4.020627417275462, + "grad_norm": 1.0625, + "learning_rate": 0.00037959894568654864, + "loss": 5.2805, + "mean_token_accuracy": 0.20567054748535157, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 6.014539337158203, + "epoch": 4.024924795874517, + "grad_norm": 1.0859375, + "learning_rate": 0.0003793044608357474, + "loss": 5.3835, + "mean_token_accuracy": 0.1940508082509041, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.931362104415894, + "epoch": 4.0292221744735714, + "grad_norm": 1.140625, + "learning_rate": 0.0003790097482256939, + "loss": 5.2328, + "mean_token_accuracy": 0.2043454810976982, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.896431541442871, + "epoch": 4.033519553072626, + "grad_norm": 0.96875, + "learning_rate": 0.0003787148084999225, + "loss": 5.2819, + "mean_token_accuracy": 0.2060570999979973, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.873203897476197, + "epoch": 4.0378169316716805, + "grad_norm": 1.1328125, + "learning_rate": 0.00037841964230246394, + "loss": 5.3343, + "mean_token_accuracy": 0.19927902966737748, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.831689119338989, + "epoch": 4.042114310270735, + "grad_norm": 1.15625, + "learning_rate": 0.0003781242502778429, + "loss": 5.2313, + "mean_token_accuracy": 0.21126292049884796, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.867668962478637, + "epoch": 4.04641168886979, + "grad_norm": 1.1171875, + "learning_rate": 0.00037782863307107785, + "loss": 5.3087, + "mean_token_accuracy": 0.20029529184103012, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.9396202087402346, + "epoch": 4.050709067468844, + "grad_norm": 1.09375, + "learning_rate": 0.00037753279132767833, + "loss": 5.2143, + "mean_token_accuracy": 0.21614595949649812, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.84978985786438, + "epoch": 4.055006446067899, + "grad_norm": 1.1953125, + "learning_rate": 0.00037723672569364453, + "loss": 5.2249, + "mean_token_accuracy": 0.20887062549591065, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.905433416366577, + "epoch": 4.059303824666953, + "grad_norm": 1.0625, + "learning_rate": 0.00037694043681546545, + "loss": 5.3015, + "mean_token_accuracy": 0.2034707173705101, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.830616998672485, + "epoch": 4.063601203266008, + "grad_norm": 1.0390625, + "learning_rate": 0.0003766439253401177, + "loss": 5.2617, + "mean_token_accuracy": 0.20167354196310044, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.858702373504639, + "epoch": 4.067898581865062, + "grad_norm": 1.1171875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2766, + "mean_token_accuracy": 0.20875433683395386, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.813738679885864, + "epoch": 4.072195960464117, + "grad_norm": 1.2734375, + "learning_rate": 0.00037605023718825065, + "loss": 5.2166, + "mean_token_accuracy": 0.20645739883184433, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.895049142837524, + "epoch": 4.0764933390631715, + "grad_norm": 0.96875, + "learning_rate": 0.000375753061808109, + "loss": 5.2796, + "mean_token_accuracy": 0.20517786592245102, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.849208974838257, + "epoch": 4.080790717662226, + "grad_norm": 1.0390625, + "learning_rate": 0.00037545566642355107, + "loss": 5.2542, + "mean_token_accuracy": 0.2037628948688507, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.8466846466064455, + "epoch": 4.0850880962612806, + "grad_norm": 1.0234375, + "learning_rate": 0.0003751580516839695, + "loss": 5.2253, + "mean_token_accuracy": 0.20077935308218003, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.9084583759307865, + "epoch": 4.089385474860335, + "grad_norm": 1.109375, + "learning_rate": 0.00037486021823923574, + "loss": 5.3032, + "mean_token_accuracy": 0.20137091279029845, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.785796022415161, + "epoch": 4.09368285345939, + "grad_norm": 1.1015625, + "learning_rate": 0.00037456216673969925, + "loss": 5.2229, + "mean_token_accuracy": 0.211810964345932, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.8987915992736815, + "epoch": 4.097980232058444, + "grad_norm": 0.96875, + "learning_rate": 0.0003742638978361851, + "loss": 5.3158, + "mean_token_accuracy": 0.19829458594322205, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.802492475509643, + "epoch": 4.102277610657499, + "grad_norm": 1.140625, + "learning_rate": 0.00037396541217999367, + "loss": 5.1885, + "mean_token_accuracy": 0.208291956782341, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.843210458755493, + "epoch": 4.106574989256553, + "grad_norm": 1.078125, + "learning_rate": 0.0003736667104228981, + "loss": 5.2383, + "mean_token_accuracy": 0.20806714445352553, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.875133657455445, + "epoch": 4.110872367855608, + "grad_norm": 1.2734375, + "learning_rate": 0.00037336779321714376, + "loss": 5.2339, + "mean_token_accuracy": 0.2111602544784546, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.784117746353149, + "epoch": 4.115169746454662, + "grad_norm": 1.1484375, + "learning_rate": 0.00037306866121544633, + "loss": 5.3148, + "mean_token_accuracy": 0.20060547441244125, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.895699596405029, + "epoch": 4.119467125053717, + "grad_norm": 1.078125, + "learning_rate": 0.0003727693150709904, + "loss": 5.2852, + "mean_token_accuracy": 0.20969280004501342, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.927401828765869, + "epoch": 4.1237645036527715, + "grad_norm": 1.0703125, + "learning_rate": 0.00037246975543742843, + "loss": 5.3251, + "mean_token_accuracy": 0.2008032977581024, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.776608228683472, + "epoch": 4.128061882251826, + "grad_norm": 1.0859375, + "learning_rate": 0.000372169982968879, + "loss": 5.209, + "mean_token_accuracy": 0.2107146978378296, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.852010917663574, + "epoch": 4.132359260850881, + "grad_norm": 1.1875, + "learning_rate": 0.0003718699983199252, + "loss": 5.2926, + "mean_token_accuracy": 0.20044343173503876, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.804159498214721, + "epoch": 4.136656639449935, + "grad_norm": 1.0625, + "learning_rate": 0.0003715698021456137, + "loss": 5.2355, + "mean_token_accuracy": 0.21283494979143142, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.81705379486084, + "epoch": 4.1409540180489905, + "grad_norm": 1.046875, + "learning_rate": 0.00037126939510145294, + "loss": 5.2994, + "mean_token_accuracy": 0.20053811222314835, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.915247869491577, + "epoch": 4.145251396648045, + "grad_norm": 1.15625, + "learning_rate": 0.0003709687778434118, + "loss": 5.327, + "mean_token_accuracy": 0.2032524213194847, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.801777935028076, + "epoch": 4.1495487752471, + "grad_norm": 1.3125, + "learning_rate": 0.0003706679510279183, + "loss": 5.1618, + "mean_token_accuracy": 0.20846515148878098, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.876266050338745, + "epoch": 4.153846153846154, + "grad_norm": 1.1484375, + "learning_rate": 0.0003703669153118578, + "loss": 5.3271, + "mean_token_accuracy": 0.19882068186998367, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.814975690841675, + "epoch": 4.158143532445209, + "grad_norm": 1.0703125, + "learning_rate": 0.00037006567135257216, + "loss": 5.2921, + "mean_token_accuracy": 0.20319987535476686, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.877647066116333, + "epoch": 4.162440911044263, + "grad_norm": 1.046875, + "learning_rate": 0.00036976421980785764, + "loss": 5.3344, + "mean_token_accuracy": 0.20252140313386918, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.839996242523194, + "epoch": 4.166738289643318, + "grad_norm": 1.125, + "learning_rate": 0.0003694625613359641, + "loss": 5.2295, + "mean_token_accuracy": 0.21065318286418916, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.878728818893433, + "epoch": 4.171035668242372, + "grad_norm": 1.140625, + "learning_rate": 0.0003691606965955929, + "loss": 5.2976, + "mean_token_accuracy": 0.20241713225841523, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.773685550689697, + "epoch": 4.175333046841427, + "grad_norm": 1.03125, + "learning_rate": 0.000368858626245896, + "loss": 5.2789, + "mean_token_accuracy": 0.20736795663833618, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.827939033508301, + "epoch": 4.1796304254404815, + "grad_norm": 0.9609375, + "learning_rate": 0.0003685563509464744, + "loss": 5.2206, + "mean_token_accuracy": 0.2094802051782608, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.888571691513062, + "epoch": 4.183927804039536, + "grad_norm": 1.1875, + "learning_rate": 0.00036825387135737647, + "loss": 5.2419, + "mean_token_accuracy": 0.20915429890155793, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.8387387752532955, + "epoch": 4.188225182638591, + "grad_norm": 1.140625, + "learning_rate": 0.00036795118813909674, + "loss": 5.344, + "mean_token_accuracy": 0.19490066319704055, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.900177431106568, + "epoch": 4.192522561237645, + "grad_norm": 1.109375, + "learning_rate": 0.00036764830195257437, + "loss": 5.2694, + "mean_token_accuracy": 0.20699672698974608, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.868921232223511, + "epoch": 4.1968199398367, + "grad_norm": 1.1640625, + "learning_rate": 0.0003673452134591918, + "loss": 5.3109, + "mean_token_accuracy": 0.20538694262504578, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.80009765625, + "epoch": 4.201117318435754, + "grad_norm": 1.1015625, + "learning_rate": 0.000367041923320773, + "loss": 5.2187, + "mean_token_accuracy": 0.21138573586940765, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.85071029663086, + "epoch": 4.205414697034809, + "grad_norm": 1.0703125, + "learning_rate": 0.00036673843219958257, + "loss": 5.2568, + "mean_token_accuracy": 0.206742163002491, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.9010358333587645, + "epoch": 4.209712075633863, + "grad_norm": 1.125, + "learning_rate": 0.0003664347407583238, + "loss": 5.3197, + "mean_token_accuracy": 0.2024794563651085, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.80710015296936, + "epoch": 4.214009454232918, + "grad_norm": 1.1484375, + "learning_rate": 0.0003661308496601373, + "loss": 5.2378, + "mean_token_accuracy": 0.21013146489858628, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.791521167755127, + "epoch": 4.218306832831972, + "grad_norm": 1.2578125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2993, + "mean_token_accuracy": 0.20273903012275696, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.754849910736084, + "epoch": 4.222604211431027, + "grad_norm": 1.1484375, + "learning_rate": 0.00036552247114772263, + "loss": 5.2318, + "mean_token_accuracy": 0.20654798150062562, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.871701717376709, + "epoch": 4.2269015900300815, + "grad_norm": 1.046875, + "learning_rate": 0.00036521798506194996, + "loss": 5.2637, + "mean_token_accuracy": 0.21133471578359603, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.832123899459839, + "epoch": 4.231198968629136, + "grad_norm": 1.21875, + "learning_rate": 0.00036491330197615775, + "loss": 5.3073, + "mean_token_accuracy": 0.19945307672023774, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.831123399734497, + "epoch": 4.235496347228191, + "grad_norm": 0.94140625, + "learning_rate": 0.00036460842255565197, + "loss": 5.3348, + "mean_token_accuracy": 0.20013371407985686, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.883769750595093, + "epoch": 4.239793725827245, + "grad_norm": 1.375, + "learning_rate": 0.0003643033474661676, + "loss": 5.3194, + "mean_token_accuracy": 0.20097711086273193, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.845435619354248, + "epoch": 4.2440911044263, + "grad_norm": 1.1953125, + "learning_rate": 0.00036399807737386657, + "loss": 5.241, + "mean_token_accuracy": 0.20937079191207886, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.903400945663452, + "epoch": 4.248388483025354, + "grad_norm": 1.2109375, + "learning_rate": 0.0003636926129453368, + "loss": 5.3464, + "mean_token_accuracy": 0.19763177782297134, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.878796339035034, + "epoch": 4.252685861624409, + "grad_norm": 1.125, + "learning_rate": 0.0003633869548475904, + "loss": 5.2559, + "mean_token_accuracy": 0.20431189835071564, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.777056169509888, + "epoch": 4.256983240223463, + "grad_norm": 1.1015625, + "learning_rate": 0.0003630811037480627, + "loss": 5.2543, + "mean_token_accuracy": 0.20079392343759536, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.850741004943847, + "epoch": 4.261280618822518, + "grad_norm": 1.046875, + "learning_rate": 0.0003627750603146101, + "loss": 5.2832, + "mean_token_accuracy": 0.20368402004241942, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.921943330764771, + "epoch": 4.265577997421573, + "grad_norm": 1.0, + "learning_rate": 0.0003624688252155091, + "loss": 5.2951, + "mean_token_accuracy": 0.2009932816028595, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.803747653961182, + "epoch": 4.269875376020628, + "grad_norm": 1.078125, + "learning_rate": 0.0003621623991194549, + "loss": 5.3558, + "mean_token_accuracy": 0.19536107927560806, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.890829372406006, + "epoch": 4.274172754619682, + "grad_norm": 1.0390625, + "learning_rate": 0.0003618557826955594, + "loss": 5.316, + "mean_token_accuracy": 0.20139972418546676, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.8294120788574215, + "epoch": 4.278470133218737, + "grad_norm": 1.078125, + "learning_rate": 0.00036154897661335063, + "loss": 5.2675, + "mean_token_accuracy": 0.20398803800344467, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.815646457672119, + "epoch": 4.2827675118177915, + "grad_norm": 1.09375, + "learning_rate": 0.0003612419815427702, + "loss": 5.3112, + "mean_token_accuracy": 0.19857749342918396, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.903983926773071, + "epoch": 4.287064890416846, + "grad_norm": 1.328125, + "learning_rate": 0.0003609347981541726, + "loss": 5.3668, + "mean_token_accuracy": 0.1965751200914383, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.863292837142945, + "epoch": 4.291362269015901, + "grad_norm": 1.1953125, + "learning_rate": 0.00036062742711832376, + "loss": 5.2677, + "mean_token_accuracy": 0.2066899359226227, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.843481111526489, + "epoch": 4.295659647614955, + "grad_norm": 1.1875, + "learning_rate": 0.0003603198691063991, + "loss": 5.2527, + "mean_token_accuracy": 0.2051399454474449, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.614789016074963, + "eval_loss": 5.965892314910889, + "eval_mean_token_accuracy": 0.17482336706204996, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0568, + "eval_samples_per_second": 1725.527, + "eval_steps_per_second": 215.873, + "step": 5000 + }, + { + "entropy": 5.814894962310791, + "epoch": 4.29995702621401, + "grad_norm": 1.21875, + "learning_rate": 0.0003600121247899824, + "loss": 5.2394, + "mean_token_accuracy": 0.2070020854473114, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.834060192108154, + "epoch": 4.304254404813064, + "grad_norm": 1.1015625, + "learning_rate": 0.00035970419484106404, + "loss": 5.3231, + "mean_token_accuracy": 0.1985424891114235, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.967706966400146, + "epoch": 4.308551783412119, + "grad_norm": 1.2109375, + "learning_rate": 0.0003593960799320402, + "loss": 5.4054, + "mean_token_accuracy": 0.20113543570041656, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8776092529296875, + "epoch": 4.312849162011173, + "grad_norm": 1.25, + "learning_rate": 0.0003590877807357107, + "loss": 5.3236, + "mean_token_accuracy": 0.19780130684375763, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.796004724502564, + "epoch": 4.317146540610228, + "grad_norm": 1.15625, + "learning_rate": 0.0003587792979252776, + "loss": 5.3027, + "mean_token_accuracy": 0.20867908447980882, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.813083219528198, + "epoch": 4.321443919209282, + "grad_norm": 1.21875, + "learning_rate": 0.0003584706321743442, + "loss": 5.2058, + "mean_token_accuracy": 0.20791620910167694, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.838433027267456, + "epoch": 4.325741297808337, + "grad_norm": 1.09375, + "learning_rate": 0.000358161784156913, + "loss": 5.2557, + "mean_token_accuracy": 0.2082034319639206, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.872574281692505, + "epoch": 4.3300386764073915, + "grad_norm": 1.0546875, + "learning_rate": 0.00035785275454738456, + "loss": 5.303, + "mean_token_accuracy": 0.19724357575178147, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.770854759216308, + "epoch": 4.334336055006446, + "grad_norm": 1.328125, + "learning_rate": 0.00035754354402055635, + "loss": 5.2083, + "mean_token_accuracy": 0.212600913643837, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.752213048934936, + "epoch": 4.338633433605501, + "grad_norm": 1.1171875, + "learning_rate": 0.0003572341532516202, + "loss": 5.2475, + "mean_token_accuracy": 0.20813672840595246, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.801317834854126, + "epoch": 4.342930812204555, + "grad_norm": 1.0546875, + "learning_rate": 0.0003569245829161622, + "loss": 5.3502, + "mean_token_accuracy": 0.1998053953051567, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.84930191040039, + "epoch": 4.34722819080361, + "grad_norm": 1.109375, + "learning_rate": 0.00035661483369016004, + "loss": 5.2837, + "mean_token_accuracy": 0.1959220364689827, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.84346284866333, + "epoch": 4.351525569402664, + "grad_norm": 1.125, + "learning_rate": 0.0003563049062499822, + "loss": 5.3157, + "mean_token_accuracy": 0.20674706101417542, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.787398624420166, + "epoch": 4.355822948001719, + "grad_norm": 1.21875, + "learning_rate": 0.0003559948012723865, + "loss": 5.2601, + "mean_token_accuracy": 0.20788746029138566, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.825500440597534, + "epoch": 4.360120326600773, + "grad_norm": 1.171875, + "learning_rate": 0.0003556845194345181, + "loss": 5.2695, + "mean_token_accuracy": 0.2058370053768158, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.749603271484375, + "epoch": 4.364417705199828, + "grad_norm": 1.28125, + "learning_rate": 0.0003553740614139086, + "loss": 5.1964, + "mean_token_accuracy": 0.20808056592941285, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.83976263999939, + "epoch": 4.368715083798882, + "grad_norm": 1.21875, + "learning_rate": 0.0003550634278884742, + "loss": 5.3091, + "mean_token_accuracy": 0.20686423778533936, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.814407444000244, + "epoch": 4.373012462397937, + "grad_norm": 1.1015625, + "learning_rate": 0.00035475261953651433, + "loss": 5.293, + "mean_token_accuracy": 0.20587006211280823, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.7717420101165775, + "epoch": 4.3773098409969915, + "grad_norm": 1.1796875, + "learning_rate": 0.00035444163703671026, + "loss": 5.2598, + "mean_token_accuracy": 0.21119688749313353, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.800244855880737, + "epoch": 4.381607219596046, + "grad_norm": 1.0234375, + "learning_rate": 0.00035413048106812357, + "loss": 5.235, + "mean_token_accuracy": 0.21408589631319047, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.919088697433471, + "epoch": 4.385904598195101, + "grad_norm": 1.078125, + "learning_rate": 0.00035381915231019425, + "loss": 5.4326, + "mean_token_accuracy": 0.18999635130167009, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.865285396575928, + "epoch": 4.390201976794156, + "grad_norm": 1.1875, + "learning_rate": 0.0003535076514427401, + "loss": 5.2447, + "mean_token_accuracy": 0.2045974314212799, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.868390226364136, + "epoch": 4.39449935539321, + "grad_norm": 1.0390625, + "learning_rate": 0.00035319597914595436, + "loss": 5.354, + "mean_token_accuracy": 0.19328553676605226, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.828657436370849, + "epoch": 4.398796733992265, + "grad_norm": 1.1015625, + "learning_rate": 0.0003528841361004049, + "loss": 5.3605, + "mean_token_accuracy": 0.1871650382876396, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.7928454875946045, + "epoch": 4.40309411259132, + "grad_norm": 1.1484375, + "learning_rate": 0.0003525721229870323, + "loss": 5.3003, + "mean_token_accuracy": 0.2077128380537033, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.904635334014893, + "epoch": 4.407391491190374, + "grad_norm": 1.1015625, + "learning_rate": 0.00035225994048714823, + "loss": 5.311, + "mean_token_accuracy": 0.20455257445573807, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.800194549560547, + "epoch": 4.411688869789429, + "grad_norm": 1.109375, + "learning_rate": 0.0003519475892824348, + "loss": 5.2937, + "mean_token_accuracy": 0.19881632030010224, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.801384353637696, + "epoch": 4.415986248388483, + "grad_norm": 1.15625, + "learning_rate": 0.0003516350700549419, + "loss": 5.3344, + "mean_token_accuracy": 0.20338008254766465, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.8580115795135494, + "epoch": 4.420283626987538, + "grad_norm": 1.15625, + "learning_rate": 0.00035132238348708697, + "loss": 5.347, + "mean_token_accuracy": 0.1988745167851448, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.965443801879883, + "epoch": 4.424581005586592, + "grad_norm": 1.234375, + "learning_rate": 0.00035100953026165224, + "loss": 5.439, + "mean_token_accuracy": 0.19176600128412247, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.869590854644775, + "epoch": 4.428878384185647, + "grad_norm": 1.078125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2808, + "mean_token_accuracy": 0.208394593000412, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.892330980300903, + "epoch": 4.4331757627847015, + "grad_norm": 0.99609375, + "learning_rate": 0.0003503833265709915, + "loss": 5.3683, + "mean_token_accuracy": 0.19563932716846466, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.908583688735962, + "epoch": 4.437473141383756, + "grad_norm": 1.21875, + "learning_rate": 0.00035006997747314404, + "loss": 5.3235, + "mean_token_accuracy": 0.19323734641075135, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.875285339355469, + "epoch": 4.441770519982811, + "grad_norm": 1.0625, + "learning_rate": 0.00034975646445247106, + "loss": 5.3894, + "mean_token_accuracy": 0.19741396009922027, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.823545503616333, + "epoch": 4.446067898581865, + "grad_norm": 1.140625, + "learning_rate": 0.0003494427881935596, + "loss": 5.3172, + "mean_token_accuracy": 0.2029438406229019, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.808364534378052, + "epoch": 4.45036527718092, + "grad_norm": 1.09375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2864, + "mean_token_accuracy": 0.2051060155034065, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.826566696166992, + "epoch": 4.454662655779974, + "grad_norm": 1.1328125, + "learning_rate": 0.0003488149487011506, + "loss": 5.3995, + "mean_token_accuracy": 0.20431725531816483, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.93192777633667, + "epoch": 4.458960034379029, + "grad_norm": 1.1015625, + "learning_rate": 0.00034850078683860346, + "loss": 5.3621, + "mean_token_accuracy": 0.19914545714855195, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.8803558349609375, + "epoch": 4.463257412978083, + "grad_norm": 1.1171875, + "learning_rate": 0.0003481864644797159, + "loss": 5.343, + "mean_token_accuracy": 0.2089121863245964, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.805825328826904, + "epoch": 4.467554791577138, + "grad_norm": 1.125, + "learning_rate": 0.0003478719823108424, + "loss": 5.3538, + "mean_token_accuracy": 0.1973356932401657, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.84867639541626, + "epoch": 4.471852170176192, + "grad_norm": 1.1640625, + "learning_rate": 0.00034755734101868613, + "loss": 5.2371, + "mean_token_accuracy": 0.2077445864677429, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.7984278202056885, + "epoch": 4.476149548775247, + "grad_norm": 1.1328125, + "learning_rate": 0.00034724254129029795, + "loss": 5.2669, + "mean_token_accuracy": 0.20249382108449937, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.826017284393311, + "epoch": 4.4804469273743015, + "grad_norm": 1.21875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3588, + "mean_token_accuracy": 0.19659536480903625, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.893008232116699, + "epoch": 4.484744305973356, + "grad_norm": 1.1171875, + "learning_rate": 0.0003466124692747577, + "loss": 5.2917, + "mean_token_accuracy": 0.20469566136598588, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.802812480926514, + "epoch": 4.489041684572411, + "grad_norm": 1.125, + "learning_rate": 0.00034629719836343106, + "loss": 5.2358, + "mean_token_accuracy": 0.2110652819275856, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.821634435653687, + "epoch": 4.493339063171465, + "grad_norm": 1.2421875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2796, + "mean_token_accuracy": 0.2101682260632515, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.847463178634643, + "epoch": 4.49763644177052, + "grad_norm": 0.984375, + "learning_rate": 0.0003456661901757913, + "loss": 5.3575, + "mean_token_accuracy": 0.19278268665075302, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.917444944381714, + "epoch": 4.501933820369574, + "grad_norm": 1.1953125, + "learning_rate": 0.00034535045427734796, + "loss": 5.3141, + "mean_token_accuracy": 0.20803753286600113, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.796197938919067, + "epoch": 4.506231198968629, + "grad_norm": 1.2109375, + "learning_rate": 0.0003450345647616313, + "loss": 5.3677, + "mean_token_accuracy": 0.2010870099067688, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.795945453643799, + "epoch": 4.510528577567683, + "grad_norm": 1.1171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.3205, + "mean_token_accuracy": 0.2039222776889801, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.844666004180908, + "epoch": 4.514825956166739, + "grad_norm": 1.09375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2781, + "mean_token_accuracy": 0.20815713405609132, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.7694135189056395, + "epoch": 4.519123334765792, + "grad_norm": 1.1484375, + "learning_rate": 0.000344085981410274, + "loss": 5.3284, + "mean_token_accuracy": 0.20543634742498398, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.762286853790283, + "epoch": 4.523420713364848, + "grad_norm": 1.046875, + "learning_rate": 0.00034376948432656036, + "loss": 5.2519, + "mean_token_accuracy": 0.21355798244476318, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.908457088470459, + "epoch": 4.527718091963902, + "grad_norm": 1.015625, + "learning_rate": 0.0003434528370777798, + "loss": 5.338, + "mean_token_accuracy": 0.1996489316225052, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.8559120178222654, + "epoch": 4.532015470562957, + "grad_norm": 1.1171875, + "learning_rate": 0.00034313604035536344, + "loss": 5.3032, + "mean_token_accuracy": 0.20419186502695083, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.795069074630737, + "epoch": 4.5363128491620115, + "grad_norm": 1.125, + "learning_rate": 0.0003428190948510687, + "loss": 5.3354, + "mean_token_accuracy": 0.2021968275308609, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.866246700286865, + "epoch": 4.540610227761066, + "grad_norm": 1.1640625, + "learning_rate": 0.0003425020012569778, + "loss": 5.3723, + "mean_token_accuracy": 0.1955377459526062, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.913688898086548, + "epoch": 4.544907606360121, + "grad_norm": 1.140625, + "learning_rate": 0.00034218476026549665, + "loss": 5.326, + "mean_token_accuracy": 0.20012779533863068, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.8284680366516115, + "epoch": 4.549204984959175, + "grad_norm": 1.171875, + "learning_rate": 0.0003418673725693524, + "loss": 5.3094, + "mean_token_accuracy": 0.20884560644626618, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.806579303741455, + "epoch": 4.55350236355823, + "grad_norm": 1.109375, + "learning_rate": 0.0003415498388615932, + "loss": 5.2941, + "mean_token_accuracy": 0.19823911041021347, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.854410552978516, + "epoch": 4.557799742157284, + "grad_norm": 1.1171875, + "learning_rate": 0.0003412321598355857, + "loss": 5.255, + "mean_token_accuracy": 0.20601650178432465, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7743758201599125, + "epoch": 4.562097120756339, + "grad_norm": 1.046875, + "learning_rate": 0.0003409143361850139, + "loss": 5.3091, + "mean_token_accuracy": 0.2028186500072479, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.799901103973388, + "epoch": 4.566394499355393, + "grad_norm": 1.1953125, + "learning_rate": 0.0003405963686038775, + "loss": 5.3917, + "mean_token_accuracy": 0.19845977276563645, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.876940774917602, + "epoch": 4.570691877954448, + "grad_norm": 1.1171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.3587, + "mean_token_accuracy": 0.203027606010437, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.888137006759644, + "epoch": 4.574989256553502, + "grad_norm": 1.1875, + "learning_rate": 0.00033996000442748056, + "loss": 5.2729, + "mean_token_accuracy": 0.20779376924037934, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.831095361709595, + "epoch": 4.579286635152557, + "grad_norm": 1.1953125, + "learning_rate": 0.00033964160922178495, + "loss": 5.3151, + "mean_token_accuracy": 0.19961357861757278, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.843279647827148, + "epoch": 4.5835840137516115, + "grad_norm": 1.078125, + "learning_rate": 0.0003393230728646518, + "loss": 5.2947, + "mean_token_accuracy": 0.2076662614941597, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.791910076141358, + "epoch": 4.587881392350666, + "grad_norm": 1.171875, + "learning_rate": 0.00033900439605163724, + "loss": 5.3031, + "mean_token_accuracy": 0.19897290766239167, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.786693143844604, + "epoch": 4.592178770949721, + "grad_norm": 1.0390625, + "learning_rate": 0.00033868557947860407, + "loss": 5.3277, + "mean_token_accuracy": 0.20447840094566344, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.854731130599975, + "epoch": 4.596476149548775, + "grad_norm": 1.109375, + "learning_rate": 0.00033836662384172014, + "loss": 5.2547, + "mean_token_accuracy": 0.21334317177534104, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.809204912185669, + "epoch": 4.60077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0003380475298374573, + "loss": 5.3575, + "mean_token_accuracy": 0.2006920963525772, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.838610601425171, + "epoch": 4.605070906746884, + "grad_norm": 1.078125, + "learning_rate": 0.000337728298162589, + "loss": 5.3661, + "mean_token_accuracy": 0.19502367824316025, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.8516277313232425, + "epoch": 4.609368285345939, + "grad_norm": 1.09375, + "learning_rate": 0.00033740892951418993, + "loss": 5.2468, + "mean_token_accuracy": 0.20967283546924592, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.862628698348999, + "epoch": 4.613665663944993, + "grad_norm": 1.2421875, + "learning_rate": 0.0003370894245896333, + "loss": 5.2997, + "mean_token_accuracy": 0.19413063079118728, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.904676723480224, + "epoch": 4.617963042544048, + "grad_norm": 1.234375, + "learning_rate": 0.00033676978408659047, + "loss": 5.3394, + "mean_token_accuracy": 0.19273030310869216, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.841152763366699, + "epoch": 4.622260421143102, + "grad_norm": 1.0234375, + "learning_rate": 0.0003364500087030283, + "loss": 5.4193, + "mean_token_accuracy": 0.1930931881070137, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.88223671913147, + "epoch": 4.626557799742157, + "grad_norm": 1.0546875, + "learning_rate": 0.00033613009913720845, + "loss": 5.285, + "mean_token_accuracy": 0.20238686352968216, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.776455116271973, + "epoch": 4.6308551783412115, + "grad_norm": 1.1796875, + "learning_rate": 0.00033581005608768563, + "loss": 5.2685, + "mean_token_accuracy": 0.20969274193048476, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.781027317047119, + "epoch": 4.635152556940266, + "grad_norm": 1.171875, + "learning_rate": 0.0003354898802533058, + "loss": 5.2996, + "mean_token_accuracy": 0.2022281602025032, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.817134523391724, + "epoch": 4.6394499355393215, + "grad_norm": 1.0859375, + "learning_rate": 0.0003351695723332051, + "loss": 5.3112, + "mean_token_accuracy": 0.20822529643774032, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.817539119720459, + "epoch": 4.643747314138375, + "grad_norm": 1.109375, + "learning_rate": 0.00033484913302680807, + "loss": 5.2541, + "mean_token_accuracy": 0.20944181829690933, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.83193678855896, + "epoch": 4.648044692737431, + "grad_norm": 1.046875, + "learning_rate": 0.00033452856303382595, + "loss": 5.2627, + "mean_token_accuracy": 0.201676806807518, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.831003665924072, + "epoch": 4.652342071336484, + "grad_norm": 1.296875, + "learning_rate": 0.0003342078630542555, + "loss": 5.2663, + "mean_token_accuracy": 0.209694604575634, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.848418092727661, + "epoch": 4.65663944993554, + "grad_norm": 1.1171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2884, + "mean_token_accuracy": 0.2060145139694214, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.795956420898437, + "epoch": 4.660936828534594, + "grad_norm": 1.140625, + "learning_rate": 0.0003335660759367544, + "loss": 5.2041, + "mean_token_accuracy": 0.21581413298845292, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.771609735488892, + "epoch": 4.665234207133649, + "grad_norm": 1.078125, + "learning_rate": 0.00033324499020023025, + "loss": 5.276, + "mean_token_accuracy": 0.21252951323986052, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.854887962341309, + "epoch": 4.669531585732703, + "grad_norm": 1.140625, + "learning_rate": 0.0003329237772799277, + "loss": 5.2692, + "mean_token_accuracy": 0.20226241499185563, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.834545612335205, + "epoch": 4.673828964331758, + "grad_norm": 1.203125, + "learning_rate": 0.0003326024378772477, + "loss": 5.2703, + "mean_token_accuracy": 0.2073190376162529, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.85920524597168, + "epoch": 4.678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.0003322809726938667, + "loss": 5.3803, + "mean_token_accuracy": 0.19288230538368226, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.826963615417481, + "epoch": 4.682423721529867, + "grad_norm": 1.1796875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2868, + "mean_token_accuracy": 0.2081781357526779, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.853608512878418, + "epoch": 4.6867211001289215, + "grad_norm": 1.2578125, + "learning_rate": 0.0003316376677930814, + "loss": 5.3074, + "mean_token_accuracy": 0.2044661432504654, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.791952800750733, + "epoch": 4.691018478727976, + "grad_norm": 1.1484375, + "learning_rate": 0.0003313158294803977, + "loss": 5.3308, + "mean_token_accuracy": 0.19685716181993484, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.853991556167602, + "epoch": 4.695315857327031, + "grad_norm": 1.1640625, + "learning_rate": 0.00033099386819645176, + "loss": 5.3095, + "mean_token_accuracy": 0.19899636507034302, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.822479629516602, + "epoch": 4.699613235926085, + "grad_norm": 1.015625, + "learning_rate": 0.0003306717846442782, + "loss": 5.2259, + "mean_token_accuracy": 0.2068831965327263, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.791026258468628, + "epoch": 4.70391061452514, + "grad_norm": 1.0859375, + "learning_rate": 0.0003303495795271788, + "loss": 5.2049, + "mean_token_accuracy": 0.20886743813753128, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.823954963684082, + "epoch": 4.708207993124194, + "grad_norm": 1.1015625, + "learning_rate": 0.00033002725354872075, + "loss": 5.3268, + "mean_token_accuracy": 0.19850837290287018, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.844640493392944, + "epoch": 4.712505371723249, + "grad_norm": 1.28125, + "learning_rate": 0.00032970480741273514, + "loss": 5.3256, + "mean_token_accuracy": 0.18878505975008011, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.88434624671936, + "epoch": 4.716802750322303, + "grad_norm": 1.2890625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2746, + "mean_token_accuracy": 0.20000507831573486, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.885302734375, + "epoch": 4.721100128921358, + "grad_norm": 1.1328125, + "learning_rate": 0.0003290595574848161, + "loss": 5.3655, + "mean_token_accuracy": 0.1920745849609375, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.776205539703369, + "epoch": 4.725397507520412, + "grad_norm": 1.109375, + "learning_rate": 0.0003287367551018505, + "loss": 5.286, + "mean_token_accuracy": 0.205222225189209, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.63656607619277, + "eval_loss": 5.927424907684326, + "eval_mean_token_accuracy": 0.17751722368369768, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.249, + "eval_samples_per_second": 1578.01, + "eval_steps_per_second": 197.418, + "step": 5500 + }, + { + "entropy": 5.829825210571289, + "epoch": 4.729694886119467, + "grad_norm": 1.03125, + "learning_rate": 0.0003284138353792903, + "loss": 5.3415, + "mean_token_accuracy": 0.19969913810491563, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.80418119430542, + "epoch": 4.7339922647185215, + "grad_norm": 1.203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.321, + "mean_token_accuracy": 0.1996894508600235, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.7827003479003904, + "epoch": 4.738289643317576, + "grad_norm": 1.265625, + "learning_rate": 0.00032776764673615055, + "loss": 5.3449, + "mean_token_accuracy": 0.19481876939535142, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.837228584289551, + "epoch": 4.742587021916631, + "grad_norm": 1.03125, + "learning_rate": 0.0003274443792265888, + "loss": 5.3326, + "mean_token_accuracy": 0.20928302854299546, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.864207553863525, + "epoch": 4.746884400515685, + "grad_norm": 1.1328125, + "learning_rate": 0.00032712099719946474, + "loss": 5.3095, + "mean_token_accuracy": 0.2033199653029442, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.811628532409668, + "epoch": 4.75118177911474, + "grad_norm": 1.15625, + "learning_rate": 0.00032679750136091533, + "loss": 5.3235, + "mean_token_accuracy": 0.19918979555368424, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.733118009567261, + "epoch": 4.755479157713794, + "grad_norm": 1.1875, + "learning_rate": 0.0003264738924173262, + "loss": 5.2886, + "mean_token_accuracy": 0.20847785323858262, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.798403263092041, + "epoch": 4.759776536312849, + "grad_norm": 1.1015625, + "learning_rate": 0.00032615017107533, + "loss": 5.2955, + "mean_token_accuracy": 0.2083728313446045, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.812806463241577, + "epoch": 4.764073914911903, + "grad_norm": 1.1953125, + "learning_rate": 0.0003258263380418047, + "loss": 5.3061, + "mean_token_accuracy": 0.20582663267850876, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.949069786071777, + "epoch": 4.768371293510958, + "grad_norm": 1.2109375, + "learning_rate": 0.00032550239402387226, + "loss": 5.3432, + "mean_token_accuracy": 0.19543366134166718, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.771684646606445, + "epoch": 4.772668672110013, + "grad_norm": 1.1328125, + "learning_rate": 0.00032517833972889695, + "loss": 5.2367, + "mean_token_accuracy": 0.20548324584960936, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.854096174240112, + "epoch": 4.776966050709067, + "grad_norm": 1.125, + "learning_rate": 0.00032485417586448375, + "loss": 5.3186, + "mean_token_accuracy": 0.20433283299207688, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.865534257888794, + "epoch": 4.781263429308122, + "grad_norm": 1.2265625, + "learning_rate": 0.000324529903138477, + "loss": 5.3383, + "mean_token_accuracy": 0.19944437593221664, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.804335594177246, + "epoch": 4.785560807907177, + "grad_norm": 1.125, + "learning_rate": 0.0003242055222589587, + "loss": 5.2334, + "mean_token_accuracy": 0.21369995176792145, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.84380407333374, + "epoch": 4.7898581865062315, + "grad_norm": 1.0859375, + "learning_rate": 0.000323881033934247, + "loss": 5.383, + "mean_token_accuracy": 0.19162997752428054, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.883758211135865, + "epoch": 4.794155565105286, + "grad_norm": 1.2265625, + "learning_rate": 0.00032355643887289486, + "loss": 5.319, + "mean_token_accuracy": 0.20510610938072205, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8348699569702145, + "epoch": 4.798452943704341, + "grad_norm": 1.125, + "learning_rate": 0.0003232317377836881, + "loss": 5.3516, + "mean_token_accuracy": 0.19644383192062378, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.7965476512908936, + "epoch": 4.802750322303395, + "grad_norm": 1.125, + "learning_rate": 0.000322906931375644, + "loss": 5.2767, + "mean_token_accuracy": 0.20827958583831788, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.807642841339112, + "epoch": 4.80704770090245, + "grad_norm": 1.140625, + "learning_rate": 0.00032258202035801, + "loss": 5.3475, + "mean_token_accuracy": 0.1958251029253006, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.893746852874756, + "epoch": 4.811345079501504, + "grad_norm": 1.1171875, + "learning_rate": 0.000322257005440262, + "loss": 5.3107, + "mean_token_accuracy": 0.2053775817155838, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.770109701156616, + "epoch": 4.815642458100559, + "grad_norm": 1.09375, + "learning_rate": 0.0003219318873321025, + "loss": 5.237, + "mean_token_accuracy": 0.22254517376422883, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.815287780761719, + "epoch": 4.819939836699613, + "grad_norm": 1.09375, + "learning_rate": 0.00032160666674345954, + "loss": 5.3277, + "mean_token_accuracy": 0.19555671364068986, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.8346967697143555, + "epoch": 4.824237215298668, + "grad_norm": 1.03125, + "learning_rate": 0.00032128134438448504, + "loss": 5.3607, + "mean_token_accuracy": 0.1988934874534607, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.854104518890381, + "epoch": 4.828534593897722, + "grad_norm": 1.1640625, + "learning_rate": 0.00032095592096555284, + "loss": 5.3357, + "mean_token_accuracy": 0.20055959671735762, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.826172304153443, + "epoch": 4.832831972496777, + "grad_norm": 1.09375, + "learning_rate": 0.0003206303971972577, + "loss": 5.2797, + "mean_token_accuracy": 0.2096318557858467, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.772659730911255, + "epoch": 4.8371293510958315, + "grad_norm": 1.1953125, + "learning_rate": 0.0003203047737904134, + "loss": 5.3084, + "mean_token_accuracy": 0.20517098158597946, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.863222885131836, + "epoch": 4.841426729694886, + "grad_norm": 1.1953125, + "learning_rate": 0.00031997905145605135, + "loss": 5.3488, + "mean_token_accuracy": 0.19873626977205278, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.8777539253234865, + "epoch": 4.845724108293941, + "grad_norm": 1.1640625, + "learning_rate": 0.00031965323090541874, + "loss": 5.3422, + "mean_token_accuracy": 0.19388414025306702, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.848870658874512, + "epoch": 4.850021486892995, + "grad_norm": 1.1484375, + "learning_rate": 0.0003193273128499777, + "loss": 5.2251, + "mean_token_accuracy": 0.2032216265797615, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.78770604133606, + "epoch": 4.85431886549205, + "grad_norm": 1.125, + "learning_rate": 0.00031900129800140287, + "loss": 5.3196, + "mean_token_accuracy": 0.19879245907068252, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.808873653411865, + "epoch": 4.858616244091104, + "grad_norm": 1.2734375, + "learning_rate": 0.00031867518707158027, + "loss": 5.3474, + "mean_token_accuracy": 0.19671654999256133, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.815101957321167, + "epoch": 4.862913622690159, + "grad_norm": 1.1640625, + "learning_rate": 0.000318348980772606, + "loss": 5.2815, + "mean_token_accuracy": 0.20676587522029877, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.911508226394654, + "epoch": 4.867211001289213, + "grad_norm": 1.234375, + "learning_rate": 0.00031802267981678414, + "loss": 5.3421, + "mean_token_accuracy": 0.20263206511735915, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.834376287460327, + "epoch": 4.871508379888268, + "grad_norm": 1.0234375, + "learning_rate": 0.00031769628491662563, + "loss": 5.3047, + "mean_token_accuracy": 0.20320590883493422, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.801552486419678, + "epoch": 4.8758057584873224, + "grad_norm": 1.015625, + "learning_rate": 0.00031736979678484634, + "loss": 5.3467, + "mean_token_accuracy": 0.2049715057015419, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.790601015090942, + "epoch": 4.880103137086377, + "grad_norm": 1.109375, + "learning_rate": 0.00031704321613436597, + "loss": 5.3813, + "mean_token_accuracy": 0.19461576640605927, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.770719242095947, + "epoch": 4.8844005156854315, + "grad_norm": 1.0546875, + "learning_rate": 0.0003167165436783061, + "loss": 5.3222, + "mean_token_accuracy": 0.2054004117846489, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.797205829620362, + "epoch": 4.888697894284486, + "grad_norm": 1.171875, + "learning_rate": 0.00031638978012998875, + "loss": 5.2221, + "mean_token_accuracy": 0.21439259350299836, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.86727466583252, + "epoch": 4.892995272883541, + "grad_norm": 1.1015625, + "learning_rate": 0.000316062926202935, + "loss": 5.384, + "mean_token_accuracy": 0.19244286566972732, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.8602556705474855, + "epoch": 4.897292651482596, + "grad_norm": 1.25, + "learning_rate": 0.0003157359826108632, + "loss": 5.2944, + "mean_token_accuracy": 0.20203630179166793, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.8388330936431885, + "epoch": 4.90159003008165, + "grad_norm": 1.15625, + "learning_rate": 0.00031540895006768727, + "loss": 5.3099, + "mean_token_accuracy": 0.20483107417821883, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.827498531341552, + "epoch": 4.905887408680705, + "grad_norm": 1.046875, + "learning_rate": 0.0003150818292875158, + "loss": 5.3257, + "mean_token_accuracy": 0.20185545533895494, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.847358322143554, + "epoch": 4.91018478727976, + "grad_norm": 1.1640625, + "learning_rate": 0.0003147546209846497, + "loss": 5.2955, + "mean_token_accuracy": 0.20283959358930587, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.739686775207519, + "epoch": 4.914482165878814, + "grad_norm": 1.140625, + "learning_rate": 0.0003144273258735812, + "loss": 5.1855, + "mean_token_accuracy": 0.20870466232299806, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.784277296066284, + "epoch": 4.918779544477869, + "grad_norm": 1.3515625, + "learning_rate": 0.0003140999446689919, + "loss": 5.295, + "mean_token_accuracy": 0.2015138253569603, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.807836294174194, + "epoch": 4.923076923076923, + "grad_norm": 1.3203125, + "learning_rate": 0.0003137724780857516, + "loss": 5.3637, + "mean_token_accuracy": 0.20311774164438248, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.88627667427063, + "epoch": 4.927374301675978, + "grad_norm": 1.0234375, + "learning_rate": 0.00031344492683891634, + "loss": 5.3789, + "mean_token_accuracy": 0.1995622456073761, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.865926218032837, + "epoch": 4.931671680275032, + "grad_norm": 1.1875, + "learning_rate": 0.0003131172916437272, + "loss": 5.3262, + "mean_token_accuracy": 0.20199921876192092, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.825812768936157, + "epoch": 4.935969058874087, + "grad_norm": 1.2265625, + "learning_rate": 0.00031278957321560845, + "loss": 5.355, + "mean_token_accuracy": 0.20129600614309312, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.926651048660278, + "epoch": 4.9402664374731415, + "grad_norm": 1.3203125, + "learning_rate": 0.00031246177227016615, + "loss": 5.3684, + "mean_token_accuracy": 0.19039739072322845, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.812946605682373, + "epoch": 4.944563816072196, + "grad_norm": 1.09375, + "learning_rate": 0.00031213388952318653, + "loss": 5.3155, + "mean_token_accuracy": 0.20289614647626877, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.817221832275391, + "epoch": 4.948861194671251, + "grad_norm": 1.0859375, + "learning_rate": 0.0003118059256906345, + "loss": 5.3004, + "mean_token_accuracy": 0.1964358150959015, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.867912340164184, + "epoch": 4.953158573270305, + "grad_norm": 1.2109375, + "learning_rate": 0.00031147788148865204, + "loss": 5.356, + "mean_token_accuracy": 0.19638251066207885, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.85248556137085, + "epoch": 4.95745595186936, + "grad_norm": 1.109375, + "learning_rate": 0.0003111497576335564, + "loss": 5.2968, + "mean_token_accuracy": 0.20374597758054733, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.826297807693481, + "epoch": 4.961753330468414, + "grad_norm": 0.9609375, + "learning_rate": 0.0003108215548418391, + "loss": 5.3081, + "mean_token_accuracy": 0.2055655375123024, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.815798139572143, + "epoch": 4.966050709067469, + "grad_norm": 1.3828125, + "learning_rate": 0.0003104932738301637, + "loss": 5.2897, + "mean_token_accuracy": 0.20031124353408813, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.799650478363037, + "epoch": 4.970348087666523, + "grad_norm": 1.109375, + "learning_rate": 0.00031016491531536477, + "loss": 5.2696, + "mean_token_accuracy": 0.20488461554050447, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.78414101600647, + "epoch": 4.974645466265578, + "grad_norm": 1.15625, + "learning_rate": 0.0003098364800144462, + "loss": 5.3256, + "mean_token_accuracy": 0.2010160431265831, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.8842973709106445, + "epoch": 4.9789428448646325, + "grad_norm": 1.15625, + "learning_rate": 0.0003095079686445792, + "loss": 5.3975, + "mean_token_accuracy": 0.20257108062505721, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.848398447036743, + "epoch": 4.983240223463687, + "grad_norm": 1.1015625, + "learning_rate": 0.00030917938192310146, + "loss": 5.2497, + "mean_token_accuracy": 0.20553108304738998, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.8361001968383786, + "epoch": 4.9875376020627415, + "grad_norm": 1.078125, + "learning_rate": 0.00030885072056751494, + "loss": 5.3212, + "mean_token_accuracy": 0.19935197979211808, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.785122728347778, + "epoch": 4.991834980661796, + "grad_norm": 1.0625, + "learning_rate": 0.00030852198529548476, + "loss": 5.3645, + "mean_token_accuracy": 0.2018916442990303, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.8573511123657225, + "epoch": 4.996132359260851, + "grad_norm": 1.15625, + "learning_rate": 0.0003081931768248373, + "loss": 5.2916, + "mean_token_accuracy": 0.20492337495088578, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.811619228786892, + "epoch": 5.0, + "grad_norm": 1.75, + "learning_rate": 0.0003078642958735588, + "loss": 5.2701, + "mean_token_accuracy": 0.21092700295978123, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.830132055282593, + "epoch": 5.0042973785990545, + "grad_norm": 1.171875, + "learning_rate": 0.00030753534315979393, + "loss": 5.1523, + "mean_token_accuracy": 0.21071099638938903, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.826620626449585, + "epoch": 5.008594757198109, + "grad_norm": 1.2421875, + "learning_rate": 0.0003072063194018438, + "loss": 4.9691, + "mean_token_accuracy": 0.22948768883943557, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.834732007980347, + "epoch": 5.012892135797164, + "grad_norm": 1.15625, + "learning_rate": 0.0003068772253181648, + "loss": 5.1533, + "mean_token_accuracy": 0.208507040143013, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.867878246307373, + "epoch": 5.017189514396218, + "grad_norm": 1.0234375, + "learning_rate": 0.0003065480616273671, + "loss": 5.1404, + "mean_token_accuracy": 0.20878320187330246, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.929982137680054, + "epoch": 5.021486892995273, + "grad_norm": 1.1953125, + "learning_rate": 0.0003062188290482123, + "loss": 5.1237, + "mean_token_accuracy": 0.21033858209848405, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.79777193069458, + "epoch": 5.025784271594327, + "grad_norm": 1.0078125, + "learning_rate": 0.00030588952829961304, + "loss": 5.0442, + "mean_token_accuracy": 0.22793061137199402, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.818366861343383, + "epoch": 5.030081650193382, + "grad_norm": 1.1875, + "learning_rate": 0.0003055601601006303, + "loss": 5.0398, + "mean_token_accuracy": 0.21814830154180526, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.821985292434692, + "epoch": 5.034379028792436, + "grad_norm": 1.1875, + "learning_rate": 0.0003052307251704728, + "loss": 5.0798, + "mean_token_accuracy": 0.22706313729286193, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.770719528198242, + "epoch": 5.038676407391491, + "grad_norm": 1.3515625, + "learning_rate": 0.0003049012242284946, + "loss": 5.1071, + "mean_token_accuracy": 0.21176830530166627, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.842636013031006, + "epoch": 5.0429737859905455, + "grad_norm": 1.15625, + "learning_rate": 0.0003045716579941941, + "loss": 5.1561, + "mean_token_accuracy": 0.21283052414655684, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.800144195556641, + "epoch": 5.0472711645896, + "grad_norm": 1.0234375, + "learning_rate": 0.00030424202718721215, + "loss": 5.1079, + "mean_token_accuracy": 0.2135323241353035, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.809390497207642, + "epoch": 5.051568543188655, + "grad_norm": 1.21875, + "learning_rate": 0.00030391233252733085, + "loss": 5.1159, + "mean_token_accuracy": 0.21603565365076066, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.7686162948608395, + "epoch": 5.055865921787709, + "grad_norm": 1.1015625, + "learning_rate": 0.00030358257473447144, + "loss": 5.0934, + "mean_token_accuracy": 0.21573030948638916, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.783536434173584, + "epoch": 5.060163300386764, + "grad_norm": 1.1640625, + "learning_rate": 0.00030325275452869316, + "loss": 5.0587, + "mean_token_accuracy": 0.21876554638147355, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.72818398475647, + "epoch": 5.064460678985819, + "grad_norm": 1.15625, + "learning_rate": 0.00030292287263019153, + "loss": 5.1101, + "mean_token_accuracy": 0.22073507010936738, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.687624406814575, + "epoch": 5.068758057584874, + "grad_norm": 1.1953125, + "learning_rate": 0.00030259292975929675, + "loss": 5.0109, + "mean_token_accuracy": 0.22956797927618028, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.79244966506958, + "epoch": 5.073055436183928, + "grad_norm": 1.0703125, + "learning_rate": 0.0003022629266364723, + "loss": 5.0609, + "mean_token_accuracy": 0.21821176558732985, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.826407146453858, + "epoch": 5.077352814782983, + "grad_norm": 1.2265625, + "learning_rate": 0.00030193286398231276, + "loss": 5.0761, + "mean_token_accuracy": 0.22239672094583512, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.807696723937989, + "epoch": 5.081650193382037, + "grad_norm": 1.1640625, + "learning_rate": 0.00030160274251754337, + "loss": 5.1337, + "mean_token_accuracy": 0.21703209429979325, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.786716270446777, + "epoch": 5.085947571981092, + "grad_norm": 1.1796875, + "learning_rate": 0.00030127256296301724, + "loss": 5.148, + "mean_token_accuracy": 0.20591583997011184, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.782669925689698, + "epoch": 5.090244950580146, + "grad_norm": 1.0859375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0689, + "mean_token_accuracy": 0.2212012901902199, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.8064656257629395, + "epoch": 5.094542329179201, + "grad_norm": 1.109375, + "learning_rate": 0.00030061203246874125, + "loss": 5.1618, + "mean_token_accuracy": 0.20938030183315276, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.82456750869751, + "epoch": 5.0988397077782555, + "grad_norm": 1.1875, + "learning_rate": 0.00030028168297132593, + "loss": 5.2033, + "mean_token_accuracy": 0.2137736588716507, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.780242776870727, + "epoch": 5.10313708637731, + "grad_norm": 1.25, + "learning_rate": 0.0002999512782688199, + "loss": 5.1682, + "mean_token_accuracy": 0.2179598942399025, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.819448375701905, + "epoch": 5.1074344649763646, + "grad_norm": 1.1328125, + "learning_rate": 0.0002996208190826951, + "loss": 5.1073, + "mean_token_accuracy": 0.21035155802965164, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.8022904872894285, + "epoch": 5.111731843575419, + "grad_norm": 1.109375, + "learning_rate": 0.00029929030613454227, + "loss": 5.0734, + "mean_token_accuracy": 0.2216214805841446, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.73983941078186, + "epoch": 5.116029222174474, + "grad_norm": 1.1484375, + "learning_rate": 0.0002989597401460697, + "loss": 5.0576, + "mean_token_accuracy": 0.2205493226647377, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.789935064315796, + "epoch": 5.120326600773528, + "grad_norm": 1.234375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0828, + "mean_token_accuracy": 0.2225214958190918, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.782462453842163, + "epoch": 5.124623979372583, + "grad_norm": 1.125, + "learning_rate": 0.00029829845193557496, + "loss": 5.1055, + "mean_token_accuracy": 0.2224409133195877, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.778302240371704, + "epoch": 5.128921357971637, + "grad_norm": 1.1953125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0935, + "mean_token_accuracy": 0.22012680172920226, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.829771327972412, + "epoch": 5.133218736570692, + "grad_norm": 1.2109375, + "learning_rate": 0.0002976369602271646, + "loss": 5.1676, + "mean_token_accuracy": 0.2150162413716316, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.834624910354615, + "epoch": 5.137516115169746, + "grad_norm": 1.0703125, + "learning_rate": 0.0002973061398667138, + "loss": 5.1343, + "mean_token_accuracy": 0.21512973457574844, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.797853422164917, + "epoch": 5.141813493768801, + "grad_norm": 1.2109375, + "learning_rate": 0.00029697527079856916, + "loss": 5.1681, + "mean_token_accuracy": 0.20807291567325592, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7741375923156735, + "epoch": 5.1461108723678555, + "grad_norm": 1.203125, + "learning_rate": 0.00029664435374521665, + "loss": 5.045, + "mean_token_accuracy": 0.22194089591503144, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.79967098236084, + "epoch": 5.15040825096691, + "grad_norm": 1.1484375, + "learning_rate": 0.00029631338942924664, + "loss": 5.0673, + "mean_token_accuracy": 0.21982951015233992, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.787040090560913, + "epoch": 5.154705629565965, + "grad_norm": 1.265625, + "learning_rate": 0.0002959823785733531, + "loss": 5.0619, + "mean_token_accuracy": 0.21710459440946578, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.57793817434225, + "eval_loss": 5.929503917694092, + "eval_mean_token_accuracy": 0.178135054085303, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0603, + "eval_samples_per_second": 1722.584, + "eval_steps_per_second": 215.505, + "step": 6000 + }, + { + "entropy": 5.742149400711059, + "epoch": 5.159003008165019, + "grad_norm": 1.234375, + "learning_rate": 0.0002956513219003312, + "loss": 5.1367, + "mean_token_accuracy": 0.21954900473356248, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.783298921585083, + "epoch": 5.163300386764074, + "grad_norm": 1.171875, + "learning_rate": 0.00029532022013307666, + "loss": 5.1365, + "mean_token_accuracy": 0.21482574939727783, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.795925092697144, + "epoch": 5.167597765363128, + "grad_norm": 1.1015625, + "learning_rate": 0.00029498907399458325, + "loss": 5.0954, + "mean_token_accuracy": 0.21783551722764968, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.840067148208618, + "epoch": 5.171895143962183, + "grad_norm": 1.203125, + "learning_rate": 0.0002946578842079418, + "loss": 5.1365, + "mean_token_accuracy": 0.2198743224143982, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.807727861404419, + "epoch": 5.176192522561237, + "grad_norm": 1.2734375, + "learning_rate": 0.0002943266514963384, + "loss": 5.0567, + "mean_token_accuracy": 0.23506541252136232, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.747990560531616, + "epoch": 5.180489901160292, + "grad_norm": 1.2421875, + "learning_rate": 0.0002939953765830529, + "loss": 5.1173, + "mean_token_accuracy": 0.21218268424272538, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7549018383026125, + "epoch": 5.184787279759346, + "grad_norm": 1.0859375, + "learning_rate": 0.00029366406019145735, + "loss": 5.1244, + "mean_token_accuracy": 0.21184627264738082, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.724986934661866, + "epoch": 5.189084658358402, + "grad_norm": 1.2109375, + "learning_rate": 0.0002933327030450143, + "loss": 5.0276, + "mean_token_accuracy": 0.22142817080020905, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.849178886413574, + "epoch": 5.193382036957456, + "grad_norm": 1.1875, + "learning_rate": 0.00029300130586727545, + "loss": 5.1395, + "mean_token_accuracy": 0.2128952518105507, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.825051498413086, + "epoch": 5.197679415556511, + "grad_norm": 1.09375, + "learning_rate": 0.00029266986938187943, + "loss": 5.1831, + "mean_token_accuracy": 0.20702893286943436, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.735121870040894, + "epoch": 5.2019767941555655, + "grad_norm": 1.1640625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0587, + "mean_token_accuracy": 0.21676131337881088, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.760170888900757, + "epoch": 5.20627417275462, + "grad_norm": 1.2734375, + "learning_rate": 0.0002920068813831002, + "loss": 5.1019, + "mean_token_accuracy": 0.21917937994003295, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.757324075698852, + "epoch": 5.210571551353675, + "grad_norm": 1.1484375, + "learning_rate": 0.0002916753313174178, + "loss": 5.144, + "mean_token_accuracy": 0.21361536532640457, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.8071925163269045, + "epoch": 5.214868929952729, + "grad_norm": 1.21875, + "learning_rate": 0.0002913437448394768, + "loss": 5.1207, + "mean_token_accuracy": 0.22017257511615754, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.873847913742066, + "epoch": 5.219166308551784, + "grad_norm": 1.1484375, + "learning_rate": 0.00029101212267332955, + "loss": 5.1813, + "mean_token_accuracy": 0.21376842260360718, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.778180503845215, + "epoch": 5.223463687150838, + "grad_norm": 1.1015625, + "learning_rate": 0.00029068046554310637, + "loss": 5.0754, + "mean_token_accuracy": 0.21744104623794555, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.738321208953858, + "epoch": 5.227761065749893, + "grad_norm": 1.0625, + "learning_rate": 0.0002903487741730139, + "loss": 5.1102, + "mean_token_accuracy": 0.21128816306591033, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.8017333984375, + "epoch": 5.232058444348947, + "grad_norm": 1.2421875, + "learning_rate": 0.00029001704928733354, + "loss": 5.1573, + "mean_token_accuracy": 0.2133406952023506, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.7818268775939945, + "epoch": 5.236355822948002, + "grad_norm": 1.1484375, + "learning_rate": 0.0002896852916104198, + "loss": 5.0464, + "mean_token_accuracy": 0.22696022540330887, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.810663747787475, + "epoch": 5.240653201547056, + "grad_norm": 1.1953125, + "learning_rate": 0.0002893535018666988, + "loss": 5.0293, + "mean_token_accuracy": 0.22478870898485184, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.7300464630126955, + "epoch": 5.244950580146111, + "grad_norm": 1.3515625, + "learning_rate": 0.00028902168078066674, + "loss": 5.1507, + "mean_token_accuracy": 0.20951681435108185, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.7556839942932125, + "epoch": 5.2492479587451655, + "grad_norm": 1.1953125, + "learning_rate": 0.0002886898290768883, + "loss": 5.0882, + "mean_token_accuracy": 0.21937238723039626, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.815136528015136, + "epoch": 5.25354533734422, + "grad_norm": 1.1953125, + "learning_rate": 0.000288357947479995, + "loss": 5.1771, + "mean_token_accuracy": 0.21402793973684311, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.836182308197022, + "epoch": 5.257842715943275, + "grad_norm": 1.0625, + "learning_rate": 0.00028802603671468347, + "loss": 5.1534, + "mean_token_accuracy": 0.21754036992788314, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.809143018722534, + "epoch": 5.262140094542329, + "grad_norm": 1.1640625, + "learning_rate": 0.00028769409750571413, + "loss": 5.1374, + "mean_token_accuracy": 0.21217462569475173, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.764298391342163, + "epoch": 5.266437473141384, + "grad_norm": 1.09375, + "learning_rate": 0.00028736213057790975, + "loss": 5.19, + "mean_token_accuracy": 0.21339703351259232, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.8401704788208, + "epoch": 5.270734851740438, + "grad_norm": 1.25, + "learning_rate": 0.0002870301366561533, + "loss": 5.1595, + "mean_token_accuracy": 0.2137187123298645, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.786964178085327, + "epoch": 5.275032230339493, + "grad_norm": 1.3125, + "learning_rate": 0.0002866981164653867, + "loss": 5.0347, + "mean_token_accuracy": 0.22384295612573624, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.697514867782592, + "epoch": 5.279329608938547, + "grad_norm": 1.3984375, + "learning_rate": 0.0002863660707306095, + "loss": 4.9706, + "mean_token_accuracy": 0.23047677278518677, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.7564788341522215, + "epoch": 5.283626987537602, + "grad_norm": 1.0859375, + "learning_rate": 0.00028603400017687675, + "loss": 5.1556, + "mean_token_accuracy": 0.21275610327720643, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.6765399932861325, + "epoch": 5.287924366136656, + "grad_norm": 1.203125, + "learning_rate": 0.00028570190552929794, + "loss": 5.0212, + "mean_token_accuracy": 0.2336950942873955, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.736397409439087, + "epoch": 5.292221744735711, + "grad_norm": 1.28125, + "learning_rate": 0.000285369787513035, + "loss": 5.054, + "mean_token_accuracy": 0.22187479585409164, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.84683780670166, + "epoch": 5.2965191233347655, + "grad_norm": 1.0234375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1708, + "mean_token_accuracy": 0.21154396533966063, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.7679667472839355, + "epoch": 5.30081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.00028470548427535794, + "loss": 5.1142, + "mean_token_accuracy": 0.21926384270191193, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.803475618362427, + "epoch": 5.305113880532875, + "grad_norm": 1.15625, + "learning_rate": 0.00028437330050451654, + "loss": 5.1931, + "mean_token_accuracy": 0.2082819387316704, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.782622385025024, + "epoch": 5.309411259131929, + "grad_norm": 1.2578125, + "learning_rate": 0.0002840410962661334, + "loss": 5.157, + "mean_token_accuracy": 0.21044335067272185, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.708439731597901, + "epoch": 5.313708637730985, + "grad_norm": 1.2578125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9886, + "mean_token_accuracy": 0.22940880805253983, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.773501396179199, + "epoch": 5.318006016330038, + "grad_norm": 1.125, + "learning_rate": 0.00028337662928838996, + "loss": 5.1732, + "mean_token_accuracy": 0.2154297411441803, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.738881921768188, + "epoch": 5.322303394929094, + "grad_norm": 1.0546875, + "learning_rate": 0.00028304436799995986, + "loss": 5.0464, + "mean_token_accuracy": 0.23141929656267166, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.817911863327026, + "epoch": 5.326600773528148, + "grad_norm": 1.1015625, + "learning_rate": 0.00028271208914584534, + "loss": 5.2057, + "mean_token_accuracy": 0.20787570029497146, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.823677492141724, + "epoch": 5.330898152127203, + "grad_norm": 1.1875, + "learning_rate": 0.00028237979345161065, + "loss": 5.0555, + "mean_token_accuracy": 0.22227236330509187, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.747840785980225, + "epoch": 5.335195530726257, + "grad_norm": 1.28125, + "learning_rate": 0.0002820474816428568, + "loss": 5.1006, + "mean_token_accuracy": 0.2157945975661278, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.796749877929687, + "epoch": 5.339492909325312, + "grad_norm": 1.25, + "learning_rate": 0.0002817151544452198, + "loss": 5.0784, + "mean_token_accuracy": 0.21691201776266097, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.7705799579620365, + "epoch": 5.343790287924366, + "grad_norm": 1.1953125, + "learning_rate": 0.00028138281258436947, + "loss": 5.114, + "mean_token_accuracy": 0.21452804952859877, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.725601530075073, + "epoch": 5.348087666523421, + "grad_norm": 1.359375, + "learning_rate": 0.0002810504567860078, + "loss": 5.0575, + "mean_token_accuracy": 0.22290477752685547, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.850395154953003, + "epoch": 5.3523850451224755, + "grad_norm": 1.2109375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1794, + "mean_token_accuracy": 0.20834580212831497, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.775689506530762, + "epoch": 5.35668242372153, + "grad_norm": 1.34375, + "learning_rate": 0.00028038570627970754, + "loss": 5.1194, + "mean_token_accuracy": 0.21776863038539887, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.717955589294434, + "epoch": 5.360979802320585, + "grad_norm": 1.328125, + "learning_rate": 0.0002800533130233184, + "loss": 5.0739, + "mean_token_accuracy": 0.21858684420585633, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.789701652526856, + "epoch": 5.365277180919639, + "grad_norm": 1.2734375, + "learning_rate": 0.0002797209087325135, + "loss": 5.144, + "mean_token_accuracy": 0.2092101663351059, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.839946126937866, + "epoch": 5.369574559518694, + "grad_norm": 1.1953125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1887, + "mean_token_accuracy": 0.20530815720558165, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.7973836898803714, + "epoch": 5.373871938117748, + "grad_norm": 1.1015625, + "learning_rate": 0.000279056069951031, + "loss": 5.1359, + "mean_token_accuracy": 0.21271687299013137, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.7870954990386965, + "epoch": 5.378169316716803, + "grad_norm": 1.2265625, + "learning_rate": 0.00027872363691209564, + "loss": 5.1234, + "mean_token_accuracy": 0.2152712032198906, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.753720331192016, + "epoch": 5.382466695315857, + "grad_norm": 1.234375, + "learning_rate": 0.0002783911957422256, + "loss": 5.1096, + "mean_token_accuracy": 0.21259453445672988, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.824054479598999, + "epoch": 5.386764073914912, + "grad_norm": 1.2421875, + "learning_rate": 0.0002780587471673394, + "loss": 5.1515, + "mean_token_accuracy": 0.21363489627838134, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.766599225997925, + "epoch": 5.391061452513966, + "grad_norm": 1.140625, + "learning_rate": 0.00027772629191337206, + "loss": 5.1163, + "mean_token_accuracy": 0.22057569175958633, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.738688850402832, + "epoch": 5.395358831113021, + "grad_norm": 1.265625, + "learning_rate": 0.00027739383070627283, + "loss": 5.1316, + "mean_token_accuracy": 0.21595446169376373, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.75838303565979, + "epoch": 5.3996562097120755, + "grad_norm": 1.125, + "learning_rate": 0.0002770613642720041, + "loss": 5.0966, + "mean_token_accuracy": 0.21665699034929276, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.838625240325928, + "epoch": 5.40395358831113, + "grad_norm": 1.0546875, + "learning_rate": 0.00027672889333653984, + "loss": 5.228, + "mean_token_accuracy": 0.20249445587396622, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.79939227104187, + "epoch": 5.408250966910185, + "grad_norm": 1.109375, + "learning_rate": 0.0002763964186258635, + "loss": 5.0924, + "mean_token_accuracy": 0.220710127055645, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.827362585067749, + "epoch": 5.412548345509239, + "grad_norm": 1.125, + "learning_rate": 0.0002760639408659671, + "loss": 5.1714, + "mean_token_accuracy": 0.20810000002384185, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.7800661563873295, + "epoch": 5.416845724108294, + "grad_norm": 1.28125, + "learning_rate": 0.0002757314607828489, + "loss": 5.1167, + "mean_token_accuracy": 0.21862143725156785, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.73545651435852, + "epoch": 5.421143102707348, + "grad_norm": 1.2578125, + "learning_rate": 0.00027539897910251293, + "loss": 5.079, + "mean_token_accuracy": 0.22295478582382203, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.764443969726562, + "epoch": 5.425440481306403, + "grad_norm": 1.234375, + "learning_rate": 0.00027506649655096595, + "loss": 5.0322, + "mean_token_accuracy": 0.21607312858104705, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.766522550582886, + "epoch": 5.429737859905457, + "grad_norm": 1.2421875, + "learning_rate": 0.0002747340138542171, + "loss": 5.082, + "mean_token_accuracy": 0.211651112139225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.8527501106262205, + "epoch": 5.434035238504512, + "grad_norm": 1.125, + "learning_rate": 0.0002744015317382757, + "loss": 5.2407, + "mean_token_accuracy": 0.20978412181138992, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.799367380142212, + "epoch": 5.438332617103566, + "grad_norm": 1.15625, + "learning_rate": 0.0002740690509291498, + "loss": 5.1368, + "mean_token_accuracy": 0.21918633878231047, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.785244274139404, + "epoch": 5.442629995702621, + "grad_norm": 1.3125, + "learning_rate": 0.0002737365721528445, + "loss": 5.1236, + "mean_token_accuracy": 0.21274089068174362, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.7810187339782715, + "epoch": 5.446927374301676, + "grad_norm": 1.1796875, + "learning_rate": 0.0002734040961353607, + "loss": 5.1159, + "mean_token_accuracy": 0.21834465563297273, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.774866771697998, + "epoch": 5.451224752900731, + "grad_norm": 1.1953125, + "learning_rate": 0.000273071623602693, + "loss": 5.0848, + "mean_token_accuracy": 0.22297502309083939, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.764535140991211, + "epoch": 5.4555221314997855, + "grad_norm": 1.171875, + "learning_rate": 0.00027273915528082865, + "loss": 5.0866, + "mean_token_accuracy": 0.21357513070106507, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.832653617858886, + "epoch": 5.45981951009884, + "grad_norm": 1.109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.244, + "mean_token_accuracy": 0.20616474747657776, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.75134687423706, + "epoch": 5.464116888697895, + "grad_norm": 1.140625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0965, + "mean_token_accuracy": 0.2268800511956215, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.841009187698364, + "epoch": 5.468414267296949, + "grad_norm": 1.2578125, + "learning_rate": 0.00027174178283977904, + "loss": 5.1381, + "mean_token_accuracy": 0.2110605239868164, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.748985385894775, + "epoch": 5.472711645896004, + "grad_norm": 1.109375, + "learning_rate": 0.00027140933862079136, + "loss": 5.101, + "mean_token_accuracy": 0.2198827251791954, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.729598569869995, + "epoch": 5.477009024495058, + "grad_norm": 1.21875, + "learning_rate": 0.000271076902242373, + "loss": 5.0683, + "mean_token_accuracy": 0.21918342411518096, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.765842914581299, + "epoch": 5.481306403094113, + "grad_norm": 1.1484375, + "learning_rate": 0.000270744474430432, + "loss": 5.0643, + "mean_token_accuracy": 0.22224877923727035, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.819550085067749, + "epoch": 5.485603781693167, + "grad_norm": 1.1875, + "learning_rate": 0.000270412055910858, + "loss": 5.2292, + "mean_token_accuracy": 0.2084754228591919, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.727860975265503, + "epoch": 5.489901160292222, + "grad_norm": 1.09375, + "learning_rate": 0.0002700796474095201, + "loss": 5.0449, + "mean_token_accuracy": 0.23166752904653548, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.796416425704956, + "epoch": 5.494198538891276, + "grad_norm": 1.28125, + "learning_rate": 0.0002697472496522656, + "loss": 5.133, + "mean_token_accuracy": 0.21775419861078263, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.824549913406372, + "epoch": 5.498495917490331, + "grad_norm": 1.171875, + "learning_rate": 0.0002694148633649184, + "loss": 5.1594, + "mean_token_accuracy": 0.21549758613109588, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.772566461563111, + "epoch": 5.5027932960893855, + "grad_norm": 1.265625, + "learning_rate": 0.0002690824892732772, + "loss": 5.1401, + "mean_token_accuracy": 0.2165399119257927, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.810577011108398, + "epoch": 5.50709067468844, + "grad_norm": 1.2421875, + "learning_rate": 0.0002687501281031142, + "loss": 5.1688, + "mean_token_accuracy": 0.21251920014619827, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.655430603027344, + "epoch": 5.511388053287495, + "grad_norm": 1.21875, + "learning_rate": 0.0002684177805801734, + "loss": 5.008, + "mean_token_accuracy": 0.2310524970293045, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.803665399551392, + "epoch": 5.515685431886549, + "grad_norm": 1.140625, + "learning_rate": 0.00026808544743016886, + "loss": 5.1174, + "mean_token_accuracy": 0.21396234184503554, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.751873636245728, + "epoch": 5.519982810485604, + "grad_norm": 1.2265625, + "learning_rate": 0.0002677531293787835, + "loss": 5.1214, + "mean_token_accuracy": 0.21226371973752975, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.676282644271851, + "epoch": 5.524280189084658, + "grad_norm": 1.15625, + "learning_rate": 0.000267420827151667, + "loss": 5.0496, + "mean_token_accuracy": 0.22589787393808364, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.773661279678345, + "epoch": 5.528577567683713, + "grad_norm": 1.203125, + "learning_rate": 0.0002670885414744347, + "loss": 5.1328, + "mean_token_accuracy": 0.22293749451637268, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.885936498641968, + "epoch": 5.532874946282767, + "grad_norm": 1.1640625, + "learning_rate": 0.0002667562730726655, + "loss": 5.2241, + "mean_token_accuracy": 0.20997274518013, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.824616193771362, + "epoch": 5.537172324881822, + "grad_norm": 1.09375, + "learning_rate": 0.00026642402267190095, + "loss": 5.2132, + "mean_token_accuracy": 0.20879042893648148, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.837517738342285, + "epoch": 5.541469703480876, + "grad_norm": 1.21875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1651, + "mean_token_accuracy": 0.21265248954296112, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.760106945037842, + "epoch": 5.545767082079931, + "grad_norm": 1.1484375, + "learning_rate": 0.00026575957877535323, + "loss": 5.1336, + "mean_token_accuracy": 0.21656470894813537, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.820511150360107, + "epoch": 5.5500644606789855, + "grad_norm": 1.171875, + "learning_rate": 0.00026542738673044985, + "loss": 5.1399, + "mean_token_accuracy": 0.21291715651750565, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.779645776748657, + "epoch": 5.55436183927804, + "grad_norm": 1.3125, + "learning_rate": 0.0002650952155883077, + "loss": 5.1135, + "mean_token_accuracy": 0.21529941111803055, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.730343055725098, + "epoch": 5.558659217877095, + "grad_norm": 1.140625, + "learning_rate": 0.0002647630660742559, + "loss": 5.1101, + "mean_token_accuracy": 0.21454885900020598, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.749731779098511, + "epoch": 5.56295659647615, + "grad_norm": 1.0703125, + "learning_rate": 0.000264430938913576, + "loss": 5.0849, + "mean_token_accuracy": 0.21852831095457076, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.798023128509522, + "epoch": 5.567253975075204, + "grad_norm": 1.3828125, + "learning_rate": 0.00026409883483150123, + "loss": 5.0912, + "mean_token_accuracy": 0.21736977249383926, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.767594051361084, + "epoch": 5.571551353674259, + "grad_norm": 1.1875, + "learning_rate": 0.000263766754553214, + "loss": 5.1532, + "mean_token_accuracy": 0.20626595616340637, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.813692712783814, + "epoch": 5.575848732273313, + "grad_norm": 1.1953125, + "learning_rate": 0.0002634346988038448, + "loss": 5.0973, + "mean_token_accuracy": 0.21707940846681595, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.771366548538208, + "epoch": 5.580146110872368, + "grad_norm": 1.2265625, + "learning_rate": 0.00026310266830847093, + "loss": 5.1268, + "mean_token_accuracy": 0.2160950183868408, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.851240634918213, + "epoch": 5.584443489471423, + "grad_norm": 1.203125, + "learning_rate": 0.00026277066379211406, + "loss": 5.1666, + "mean_token_accuracy": 0.21153911352157592, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.587484500966631, + "eval_loss": 5.9088215827941895, + "eval_mean_token_accuracy": 0.1789141287104235, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2415, + "eval_samples_per_second": 1583.307, + "eval_steps_per_second": 198.081, + "step": 6500 + }, + { + "entropy": 5.810330581665039, + "epoch": 5.588740868070477, + "grad_norm": 1.2265625, + "learning_rate": 0.0002624386859797396, + "loss": 5.2016, + "mean_token_accuracy": 0.20850666165351867, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.691527891159057, + "epoch": 5.593038246669532, + "grad_norm": 1.21875, + "learning_rate": 0.00026210673559625406, + "loss": 4.9896, + "mean_token_accuracy": 0.22865322530269622, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.7894144535064695, + "epoch": 5.597335625268586, + "grad_norm": 1.3984375, + "learning_rate": 0.0002617748133665047, + "loss": 5.2118, + "mean_token_accuracy": 0.2122812032699585, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.763946056365967, + "epoch": 5.601633003867641, + "grad_norm": 1.1875, + "learning_rate": 0.0002614429200152768, + "loss": 5.183, + "mean_token_accuracy": 0.21466665118932723, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.779318046569824, + "epoch": 5.6059303824666955, + "grad_norm": 1.265625, + "learning_rate": 0.000261111056267293, + "loss": 5.0385, + "mean_token_accuracy": 0.22099136859178542, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.7794242858886715, + "epoch": 5.61022776106575, + "grad_norm": 1.1875, + "learning_rate": 0.00026077922284721084, + "loss": 5.1003, + "mean_token_accuracy": 0.22238964438438416, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.727440547943115, + "epoch": 5.614525139664805, + "grad_norm": 1.3359375, + "learning_rate": 0.00026044742047962206, + "loss": 5.0703, + "mean_token_accuracy": 0.22508458644151688, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.738032865524292, + "epoch": 5.618822518263859, + "grad_norm": 1.2109375, + "learning_rate": 0.00026011564988905023, + "loss": 5.2065, + "mean_token_accuracy": 0.21719919443130492, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.8498131275177006, + "epoch": 5.623119896862914, + "grad_norm": 1.203125, + "learning_rate": 0.0002597839117999499, + "loss": 5.201, + "mean_token_accuracy": 0.2126613289117813, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.789801359176636, + "epoch": 5.627417275461968, + "grad_norm": 1.296875, + "learning_rate": 0.0002594522069367044, + "loss": 5.0842, + "mean_token_accuracy": 0.2244862824678421, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.747990703582763, + "epoch": 5.631714654061023, + "grad_norm": 1.109375, + "learning_rate": 0.0002591205360236245, + "loss": 5.1154, + "mean_token_accuracy": 0.21725053191184998, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.767636060714722, + "epoch": 5.636012032660077, + "grad_norm": 1.265625, + "learning_rate": 0.000258788899784947, + "loss": 5.1205, + "mean_token_accuracy": 0.21221498697996138, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.810602903366089, + "epoch": 5.640309411259132, + "grad_norm": 1.1171875, + "learning_rate": 0.00025845729894483283, + "loss": 5.1613, + "mean_token_accuracy": 0.209673647582531, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.828999805450439, + "epoch": 5.644606789858186, + "grad_norm": 1.171875, + "learning_rate": 0.0002581257342273657, + "loss": 5.2191, + "mean_token_accuracy": 0.21002251505851746, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.790510845184326, + "epoch": 5.648904168457241, + "grad_norm": 1.265625, + "learning_rate": 0.0002577942063565504, + "loss": 5.1473, + "mean_token_accuracy": 0.21715394109487535, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.780890369415284, + "epoch": 5.6532015470562955, + "grad_norm": 1.3203125, + "learning_rate": 0.0002574627160563114, + "loss": 5.2054, + "mean_token_accuracy": 0.21656007170677186, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.833474206924438, + "epoch": 5.65749892565535, + "grad_norm": 1.234375, + "learning_rate": 0.0002571312640504909, + "loss": 5.2272, + "mean_token_accuracy": 0.20785245895385743, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.903450536727905, + "epoch": 5.661796304254405, + "grad_norm": 1.1875, + "learning_rate": 0.0002567998510628476, + "loss": 5.2413, + "mean_token_accuracy": 0.20541951507329942, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.7732603549957275, + "epoch": 5.666093682853459, + "grad_norm": 1.28125, + "learning_rate": 0.00025646847781705506, + "loss": 5.1226, + "mean_token_accuracy": 0.21898027807474135, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7607639789581295, + "epoch": 5.670391061452514, + "grad_norm": 1.3046875, + "learning_rate": 0.0002561371450367, + "loss": 5.1289, + "mean_token_accuracy": 0.2148086816072464, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.799904012680054, + "epoch": 5.674688440051568, + "grad_norm": 1.2890625, + "learning_rate": 0.00025580585344528076, + "loss": 5.1941, + "mean_token_accuracy": 0.2090480461716652, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.802334547042847, + "epoch": 5.678985818650623, + "grad_norm": 1.2578125, + "learning_rate": 0.0002554746037662058, + "loss": 5.2153, + "mean_token_accuracy": 0.20566553473472596, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.868585634231567, + "epoch": 5.683283197249677, + "grad_norm": 1.1015625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1641, + "mean_token_accuracy": 0.21109885722398758, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.80119833946228, + "epoch": 5.687580575848732, + "grad_norm": 1.1875, + "learning_rate": 0.000254812233038263, + "loss": 5.106, + "mean_token_accuracy": 0.22026268839836122, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.785006141662597, + "epoch": 5.691877954447786, + "grad_norm": 1.2734375, + "learning_rate": 0.00025448111343574813, + "loss": 5.1206, + "mean_token_accuracy": 0.2177802160382271, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.755448532104492, + "epoch": 5.696175333046842, + "grad_norm": 1.0234375, + "learning_rate": 0.0002541500386382802, + "loss": 5.1032, + "mean_token_accuracy": 0.2135314717888832, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.795413208007813, + "epoch": 5.7004727116458955, + "grad_norm": 1.203125, + "learning_rate": 0.00025381900936879433, + "loss": 5.1846, + "mean_token_accuracy": 0.21453225016593933, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.7829125881195065, + "epoch": 5.704770090244951, + "grad_norm": 1.1640625, + "learning_rate": 0.0002534880263501259, + "loss": 5.1542, + "mean_token_accuracy": 0.21434427946805953, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.759543371200562, + "epoch": 5.7090674688440055, + "grad_norm": 1.1015625, + "learning_rate": 0.0002531570903050097, + "loss": 5.1091, + "mean_token_accuracy": 0.21880163848400117, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.818104219436646, + "epoch": 5.71336484744306, + "grad_norm": 1.1328125, + "learning_rate": 0.0002528262019560776, + "loss": 5.158, + "mean_token_accuracy": 0.21322663277387618, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.762011098861694, + "epoch": 5.717662226042115, + "grad_norm": 1.09375, + "learning_rate": 0.0002524953620258579, + "loss": 5.0262, + "mean_token_accuracy": 0.22854391783475875, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.73213381767273, + "epoch": 5.721959604641169, + "grad_norm": 1.2109375, + "learning_rate": 0.0002521645712367724, + "loss": 5.0496, + "mean_token_accuracy": 0.22822125405073165, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.755954074859619, + "epoch": 5.726256983240224, + "grad_norm": 1.265625, + "learning_rate": 0.00025183383031113606, + "loss": 5.0837, + "mean_token_accuracy": 0.2249210149049759, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.667020416259765, + "epoch": 5.730554361839278, + "grad_norm": 1.15625, + "learning_rate": 0.00025150313997115476, + "loss": 5.0416, + "mean_token_accuracy": 0.22201696187257766, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.77487530708313, + "epoch": 5.734851740438333, + "grad_norm": 1.125, + "learning_rate": 0.0002511725009389244, + "loss": 5.1933, + "mean_token_accuracy": 0.21116092801094055, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.765606832504273, + "epoch": 5.739149119037387, + "grad_norm": 1.3125, + "learning_rate": 0.000250841913936428, + "loss": 5.1503, + "mean_token_accuracy": 0.21786546260118483, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.75055570602417, + "epoch": 5.743446497636442, + "grad_norm": 1.203125, + "learning_rate": 0.0002505113796855357, + "loss": 5.143, + "mean_token_accuracy": 0.21634120494127274, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.770916938781738, + "epoch": 5.747743876235496, + "grad_norm": 1.2890625, + "learning_rate": 0.00025018089890800225, + "loss": 5.0908, + "mean_token_accuracy": 0.22405355870723725, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.780913352966309, + "epoch": 5.752041254834551, + "grad_norm": 1.1953125, + "learning_rate": 0.00024985047232546544, + "loss": 5.1884, + "mean_token_accuracy": 0.21726172119379045, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.8112811088562015, + "epoch": 5.7563386334336055, + "grad_norm": 1.1328125, + "learning_rate": 0.00024952010065944485, + "loss": 5.1644, + "mean_token_accuracy": 0.21350513994693757, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.794380140304566, + "epoch": 5.76063601203266, + "grad_norm": 1.3125, + "learning_rate": 0.0002491897846313402, + "loss": 5.1415, + "mean_token_accuracy": 0.21891088634729386, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.844700193405151, + "epoch": 5.764933390631715, + "grad_norm": 1.171875, + "learning_rate": 0.0002488595249624297, + "loss": 5.2308, + "mean_token_accuracy": 0.20482745319604873, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.777750396728516, + "epoch": 5.769230769230769, + "grad_norm": 1.09375, + "learning_rate": 0.00024852932237386837, + "loss": 5.1602, + "mean_token_accuracy": 0.21278387904167176, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.781616306304931, + "epoch": 5.773528147829824, + "grad_norm": 1.125, + "learning_rate": 0.00024819917758668673, + "loss": 5.1177, + "mean_token_accuracy": 0.21435283571481706, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.795768356323242, + "epoch": 5.777825526428878, + "grad_norm": 1.171875, + "learning_rate": 0.00024786909132178906, + "loss": 5.1967, + "mean_token_accuracy": 0.21346242129802703, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.770245027542114, + "epoch": 5.782122905027933, + "grad_norm": 1.2734375, + "learning_rate": 0.00024753906429995194, + "loss": 5.0708, + "mean_token_accuracy": 0.2283392906188965, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.815408086776733, + "epoch": 5.786420283626987, + "grad_norm": 1.2265625, + "learning_rate": 0.0002472090972418222, + "loss": 5.1723, + "mean_token_accuracy": 0.21145310401916503, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.7969895362854, + "epoch": 5.790717662226042, + "grad_norm": 1.15625, + "learning_rate": 0.0002468791908679163, + "loss": 5.16, + "mean_token_accuracy": 0.20907359272241594, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.8266209125518795, + "epoch": 5.795015040825096, + "grad_norm": 1.203125, + "learning_rate": 0.0002465493458986175, + "loss": 5.224, + "mean_token_accuracy": 0.20271035730838777, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.690389919281006, + "epoch": 5.799312419424151, + "grad_norm": 1.3515625, + "learning_rate": 0.00024621956305417587, + "loss": 5.0584, + "mean_token_accuracy": 0.22248426228761672, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.801789426803589, + "epoch": 5.8036097980232055, + "grad_norm": 1.2734375, + "learning_rate": 0.000245889843054705, + "loss": 5.1674, + "mean_token_accuracy": 0.2146278813481331, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.766292572021484, + "epoch": 5.80790717662226, + "grad_norm": 1.1640625, + "learning_rate": 0.00024556018662018163, + "loss": 5.1355, + "mean_token_accuracy": 0.21804405450820924, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.825388383865357, + "epoch": 5.812204555221315, + "grad_norm": 1.140625, + "learning_rate": 0.00024523059447044377, + "loss": 5.1359, + "mean_token_accuracy": 0.2106882631778717, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.811703062057495, + "epoch": 5.816501933820369, + "grad_norm": 1.203125, + "learning_rate": 0.0002449010673251887, + "loss": 5.1457, + "mean_token_accuracy": 0.2106386587023735, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.837384557723999, + "epoch": 5.820799312419425, + "grad_norm": 1.1953125, + "learning_rate": 0.0002445716059039723, + "loss": 5.2415, + "mean_token_accuracy": 0.20431807935237883, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.803850889205933, + "epoch": 5.825096691018478, + "grad_norm": 1.3828125, + "learning_rate": 0.00024424221092620644, + "loss": 5.1938, + "mean_token_accuracy": 0.21159621477127075, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.721775150299072, + "epoch": 5.829394069617534, + "grad_norm": 1.1640625, + "learning_rate": 0.00024391288311115822, + "loss": 5.1136, + "mean_token_accuracy": 0.2114120438694954, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.771698474884033, + "epoch": 5.833691448216588, + "grad_norm": 1.2421875, + "learning_rate": 0.0002435836231779478, + "loss": 5.1534, + "mean_token_accuracy": 0.21626046299934387, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.740696430206299, + "epoch": 5.837988826815643, + "grad_norm": 1.1328125, + "learning_rate": 0.00024325443184554724, + "loss": 5.0498, + "mean_token_accuracy": 0.2268505409359932, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.778064870834351, + "epoch": 5.842286205414697, + "grad_norm": 1.1875, + "learning_rate": 0.00024292530983277904, + "loss": 5.2086, + "mean_token_accuracy": 0.211841943860054, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.745600652694702, + "epoch": 5.846583584013752, + "grad_norm": 1.2421875, + "learning_rate": 0.00024259625785831408, + "loss": 5.0643, + "mean_token_accuracy": 0.2172771066427231, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.812221240997315, + "epoch": 5.850880962612806, + "grad_norm": 1.265625, + "learning_rate": 0.00024226727664067023, + "loss": 5.2167, + "mean_token_accuracy": 0.2113609328866005, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.85981330871582, + "epoch": 5.855178341211861, + "grad_norm": 1.1953125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2745, + "mean_token_accuracy": 0.20549044460058213, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.698194265365601, + "epoch": 5.8594757198109155, + "grad_norm": 1.2578125, + "learning_rate": 0.0002416095293491439, + "loss": 5.0575, + "mean_token_accuracy": 0.22093253284692765, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.789422225952149, + "epoch": 5.86377309840997, + "grad_norm": 1.265625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0657, + "mean_token_accuracy": 0.2230805352330208, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.756113576889038, + "epoch": 5.868070477009025, + "grad_norm": 1.1953125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0966, + "mean_token_accuracy": 0.21677415072917938, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7737664699554445, + "epoch": 5.872367855608079, + "grad_norm": 1.2890625, + "learning_rate": 0.00024062345704199507, + "loss": 5.1109, + "mean_token_accuracy": 0.21734392493963242, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.804680013656617, + "epoch": 5.876665234207134, + "grad_norm": 1.0, + "learning_rate": 0.00024029491544539405, + "loss": 5.2056, + "mean_token_accuracy": 0.20914409458637237, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.737584018707276, + "epoch": 5.880962612806188, + "grad_norm": 1.2578125, + "learning_rate": 0.00023996644963082616, + "loss": 5.1546, + "mean_token_accuracy": 0.22128169238567352, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.804375219345093, + "epoch": 5.885259991405243, + "grad_norm": 1.1171875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1943, + "mean_token_accuracy": 0.2085866376757622, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.748406171798706, + "epoch": 5.889557370004297, + "grad_norm": 1.1796875, + "learning_rate": 0.00023930974821657504, + "loss": 5.1142, + "mean_token_accuracy": 0.21527279913425446, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.866064405441284, + "epoch": 5.893854748603352, + "grad_norm": 1.1796875, + "learning_rate": 0.00023898151405086533, + "loss": 5.185, + "mean_token_accuracy": 0.21090082675218583, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.825461673736572, + "epoch": 5.8981521272024064, + "grad_norm": 1.265625, + "learning_rate": 0.00023865335853513232, + "loss": 5.1773, + "mean_token_accuracy": 0.21529610455036163, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.788094234466553, + "epoch": 5.902449505801461, + "grad_norm": 1.1796875, + "learning_rate": 0.00023832528238593677, + "loss": 5.2454, + "mean_token_accuracy": 0.20996989905834199, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.747205543518066, + "epoch": 5.9067468844005155, + "grad_norm": 1.2109375, + "learning_rate": 0.00023799728631966556, + "loss": 5.1313, + "mean_token_accuracy": 0.21550016105175018, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.8067419052124025, + "epoch": 5.91104426299957, + "grad_norm": 1.2890625, + "learning_rate": 0.0002376693710525313, + "loss": 5.2261, + "mean_token_accuracy": 0.21084323525428772, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.8443159580230715, + "epoch": 5.915341641598625, + "grad_norm": 1.109375, + "learning_rate": 0.00023734153730056967, + "loss": 5.1854, + "mean_token_accuracy": 0.2098903939127922, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.75254225730896, + "epoch": 5.919639020197679, + "grad_norm": 1.40625, + "learning_rate": 0.00023701378577963873, + "loss": 5.0097, + "mean_token_accuracy": 0.22866766154766083, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.754075956344605, + "epoch": 5.923936398796734, + "grad_norm": 1.2578125, + "learning_rate": 0.0002366861172054166, + "loss": 5.1066, + "mean_token_accuracy": 0.21780942380428314, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.77516279220581, + "epoch": 5.928233777395788, + "grad_norm": 1.234375, + "learning_rate": 0.00023635853229340054, + "loss": 5.1563, + "mean_token_accuracy": 0.21333520114421844, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.788961362838745, + "epoch": 5.932531155994843, + "grad_norm": 1.203125, + "learning_rate": 0.00023603103175890512, + "loss": 5.1674, + "mean_token_accuracy": 0.20800318717956542, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.780201768875122, + "epoch": 5.936828534593897, + "grad_norm": 1.203125, + "learning_rate": 0.00023570361631706062, + "loss": 5.0482, + "mean_token_accuracy": 0.22682550996541978, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.752371120452881, + "epoch": 5.941125913192952, + "grad_norm": 1.2109375, + "learning_rate": 0.00023537628668281142, + "loss": 5.1793, + "mean_token_accuracy": 0.21411100775003433, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.739467906951904, + "epoch": 5.945423291792007, + "grad_norm": 1.1640625, + "learning_rate": 0.00023504904357091468, + "loss": 5.0906, + "mean_token_accuracy": 0.21916348338127137, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.817741394042969, + "epoch": 5.949720670391061, + "grad_norm": 1.3203125, + "learning_rate": 0.0002347218876959384, + "loss": 5.0988, + "mean_token_accuracy": 0.22555966377258302, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.774907779693604, + "epoch": 5.954018048990116, + "grad_norm": 1.15625, + "learning_rate": 0.0002343948197722604, + "loss": 5.1268, + "mean_token_accuracy": 0.2213137552142143, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.723889780044556, + "epoch": 5.958315427589171, + "grad_norm": 1.234375, + "learning_rate": 0.00023406784051406638, + "loss": 5.1446, + "mean_token_accuracy": 0.21569790840148925, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.844821977615356, + "epoch": 5.9626128061882255, + "grad_norm": 1.1875, + "learning_rate": 0.00023374095063534816, + "loss": 5.1469, + "mean_token_accuracy": 0.22094390839338302, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.773779249191284, + "epoch": 5.96691018478728, + "grad_norm": 1.1875, + "learning_rate": 0.00023341415084990276, + "loss": 5.1121, + "mean_token_accuracy": 0.21411748081445695, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.678793716430664, + "epoch": 5.971207563386335, + "grad_norm": 1.1484375, + "learning_rate": 0.00023308744187132996, + "loss": 5.0518, + "mean_token_accuracy": 0.2295151397585869, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.788469696044922, + "epoch": 5.975504941985389, + "grad_norm": 1.234375, + "learning_rate": 0.00023276082441303197, + "loss": 5.1718, + "mean_token_accuracy": 0.21482646316289902, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.832605695724487, + "epoch": 5.979802320584444, + "grad_norm": 1.1875, + "learning_rate": 0.00023243429918821056, + "loss": 5.1501, + "mean_token_accuracy": 0.2146319031715393, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.868136739730835, + "epoch": 5.984099699183498, + "grad_norm": 1.28125, + "learning_rate": 0.00023210786690986646, + "loss": 5.2385, + "mean_token_accuracy": 0.2106163904070854, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.773500680923462, + "epoch": 5.988397077782553, + "grad_norm": 1.234375, + "learning_rate": 0.00023178152829079712, + "loss": 5.0916, + "mean_token_accuracy": 0.22088077813386917, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.763846731185913, + "epoch": 5.992694456381607, + "grad_norm": 1.2734375, + "learning_rate": 0.00023145528404359562, + "loss": 5.1313, + "mean_token_accuracy": 0.22139803171157837, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.784390497207641, + "epoch": 5.996991834980662, + "grad_norm": 1.2421875, + "learning_rate": 0.0002311291348806492, + "loss": 5.2048, + "mean_token_accuracy": 0.20281474888324738, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.7638511127895775, + "epoch": 6.000859475719811, + "grad_norm": 1.234375, + "learning_rate": 0.0002308030815141372, + "loss": 5.1312, + "mean_token_accuracy": 0.21178502175543043, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.737544345855713, + "epoch": 6.005156854318866, + "grad_norm": 1.1484375, + "learning_rate": 0.00023047712465602976, + "loss": 4.9411, + "mean_token_accuracy": 0.23268725723028183, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.735475063323975, + "epoch": 6.00945423291792, + "grad_norm": 1.328125, + "learning_rate": 0.00023015126501808641, + "loss": 4.966, + "mean_token_accuracy": 0.2215101584792137, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.776022481918335, + "epoch": 6.013751611516975, + "grad_norm": 1.1328125, + "learning_rate": 0.00022982550331185437, + "loss": 4.9637, + "mean_token_accuracy": 0.2314266100525856, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.5485868609703335, + "eval_loss": 5.897665977478027, + "eval_mean_token_accuracy": 0.18092229928787765, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0511, + "eval_samples_per_second": 1730.293, + "eval_steps_per_second": 216.469, + "step": 7000 + }, + { + "entropy": 5.691806173324585, + "epoch": 6.0180489901160295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9672, + "mean_token_accuracy": 0.23159780353307724, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.781547927856446, + "epoch": 6.022346368715084, + "grad_norm": 1.2578125, + "learning_rate": 0.0002291742765396424, + "loss": 5.0222, + "mean_token_accuracy": 0.22906866669654846, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.777514505386352, + "epoch": 6.0266437473141385, + "grad_norm": 1.1328125, + "learning_rate": 0.00022884881289568133, + "loss": 5.0386, + "mean_token_accuracy": 0.22094691544771194, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.6990760326385494, + "epoch": 6.030941125913193, + "grad_norm": 1.1953125, + "learning_rate": 0.0002285234500274665, + "loss": 5.0016, + "mean_token_accuracy": 0.2268824100494385, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.840245294570923, + "epoch": 6.035238504512248, + "grad_norm": 1.25, + "learning_rate": 0.00022819818864546016, + "loss": 5.0613, + "mean_token_accuracy": 0.22050540000200272, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.788558721542358, + "epoch": 6.039535883111302, + "grad_norm": 1.234375, + "learning_rate": 0.00022787302945990345, + "loss": 5.0144, + "mean_token_accuracy": 0.23190406560897828, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.784692239761353, + "epoch": 6.043833261710357, + "grad_norm": 1.3046875, + "learning_rate": 0.00022754797318081383, + "loss": 4.9778, + "mean_token_accuracy": 0.23033921122550965, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.75786280632019, + "epoch": 6.048130640309411, + "grad_norm": 1.2109375, + "learning_rate": 0.00022722302051798442, + "loss": 4.9264, + "mean_token_accuracy": 0.22915157228708266, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.666304588317871, + "epoch": 6.052428018908466, + "grad_norm": 1.2421875, + "learning_rate": 0.0002268981721809819, + "loss": 4.9324, + "mean_token_accuracy": 0.23248923122882842, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.76234278678894, + "epoch": 6.05672539750752, + "grad_norm": 1.2421875, + "learning_rate": 0.0002265734288791451, + "loss": 5.0015, + "mean_token_accuracy": 0.22686269730329514, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.819028425216675, + "epoch": 6.061022776106575, + "grad_norm": 1.3046875, + "learning_rate": 0.00022624879132158377, + "loss": 5.0876, + "mean_token_accuracy": 0.22044486552476883, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.733125495910644, + "epoch": 6.0653201547056295, + "grad_norm": 1.1171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.9027, + "mean_token_accuracy": 0.24135779589414597, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.726211166381836, + "epoch": 6.069617533304684, + "grad_norm": 1.2734375, + "learning_rate": 0.0002255998362745696, + "loss": 4.8067, + "mean_token_accuracy": 0.2527772426605225, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.697748184204102, + "epoch": 6.073914911903739, + "grad_norm": 1.2578125, + "learning_rate": 0.00022527552020217513, + "loss": 4.9578, + "mean_token_accuracy": 0.23135053366422653, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.7508221626281735, + "epoch": 6.078212290502793, + "grad_norm": 1.203125, + "learning_rate": 0.0002249513127081697, + "loss": 5.0379, + "mean_token_accuracy": 0.22537065148353577, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.821695613861084, + "epoch": 6.082509669101848, + "grad_norm": 1.2109375, + "learning_rate": 0.00022462721450049316, + "loss": 5.0331, + "mean_token_accuracy": 0.22243736535310746, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.768175172805786, + "epoch": 6.086807047700902, + "grad_norm": 1.3203125, + "learning_rate": 0.0002243032262868464, + "loss": 4.98, + "mean_token_accuracy": 0.22336842119693756, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.767650985717774, + "epoch": 6.091104426299957, + "grad_norm": 1.140625, + "learning_rate": 0.00022397934877469, + "loss": 5.0105, + "mean_token_accuracy": 0.2182280093431473, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7904541969299315, + "epoch": 6.095401804899011, + "grad_norm": 1.1796875, + "learning_rate": 0.0002236555826712432, + "loss": 5.0389, + "mean_token_accuracy": 0.2230403557419777, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.838481426239014, + "epoch": 6.099699183498066, + "grad_norm": 1.2265625, + "learning_rate": 0.00022333192868348152, + "loss": 5.0203, + "mean_token_accuracy": 0.22564003616571426, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.762051153182983, + "epoch": 6.10399656209712, + "grad_norm": 1.140625, + "learning_rate": 0.00022300838751813606, + "loss": 5.049, + "mean_token_accuracy": 0.2290334463119507, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.759262037277222, + "epoch": 6.108293940696175, + "grad_norm": 1.28125, + "learning_rate": 0.00022268495988169145, + "loss": 4.9445, + "mean_token_accuracy": 0.23307121843099593, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.68530306816101, + "epoch": 6.1125913192952295, + "grad_norm": 1.28125, + "learning_rate": 0.00022236164648038433, + "loss": 4.9332, + "mean_token_accuracy": 0.2352724328637123, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.717230653762817, + "epoch": 6.116888697894285, + "grad_norm": 1.3359375, + "learning_rate": 0.0002220384480202019, + "loss": 4.9107, + "mean_token_accuracy": 0.23734596371650696, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.7552255153656, + "epoch": 6.1211860764933395, + "grad_norm": 1.28125, + "learning_rate": 0.00022171536520688046, + "loss": 4.9756, + "mean_token_accuracy": 0.23315537869930267, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.797720336914063, + "epoch": 6.125483455092394, + "grad_norm": 1.25, + "learning_rate": 0.00022139239874590362, + "loss": 5.0782, + "mean_token_accuracy": 0.22219871133565902, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.767501020431519, + "epoch": 6.1297808336914485, + "grad_norm": 1.171875, + "learning_rate": 0.0002210695493425013, + "loss": 4.9994, + "mean_token_accuracy": 0.22486449778079987, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.700614976882934, + "epoch": 6.134078212290503, + "grad_norm": 1.4453125, + "learning_rate": 0.00022074681770164735, + "loss": 4.9421, + "mean_token_accuracy": 0.22969190180301666, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.704544973373413, + "epoch": 6.138375590889558, + "grad_norm": 1.1640625, + "learning_rate": 0.00022042420452805868, + "loss": 4.9477, + "mean_token_accuracy": 0.23626155406236649, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.783449697494507, + "epoch": 6.142672969488612, + "grad_norm": 1.3046875, + "learning_rate": 0.00022010171052619365, + "loss": 5.0133, + "mean_token_accuracy": 0.2346527874469757, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.748849725723266, + "epoch": 6.146970348087667, + "grad_norm": 1.2265625, + "learning_rate": 0.00021977933640025, + "loss": 4.9984, + "mean_token_accuracy": 0.22886652797460555, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.6607763290405275, + "epoch": 6.151267726686721, + "grad_norm": 1.1953125, + "learning_rate": 0.00021945708285416434, + "loss": 4.8752, + "mean_token_accuracy": 0.24084128588438034, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.758824348449707, + "epoch": 6.155565105285776, + "grad_norm": 1.2578125, + "learning_rate": 0.0002191349505916093, + "loss": 5.0239, + "mean_token_accuracy": 0.22872246205806732, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.775124549865723, + "epoch": 6.15986248388483, + "grad_norm": 1.171875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9713, + "mean_token_accuracy": 0.23292697370052337, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.781008958816528, + "epoch": 6.164159862483885, + "grad_norm": 1.3125, + "learning_rate": 0.0002184910527304576, + "loss": 5.0122, + "mean_token_accuracy": 0.2295176088809967, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.699311828613281, + "epoch": 6.1684572410829395, + "grad_norm": 1.2578125, + "learning_rate": 0.00021816928853787636, + "loss": 4.9639, + "mean_token_accuracy": 0.23525033593177797, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.756593084335327, + "epoch": 6.172754619681994, + "grad_norm": 1.1796875, + "learning_rate": 0.00021784764844085398, + "loss": 5.0108, + "mean_token_accuracy": 0.2276516392827034, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.863659620285034, + "epoch": 6.177051998281049, + "grad_norm": 1.359375, + "learning_rate": 0.0002175261331417238, + "loss": 5.0337, + "mean_token_accuracy": 0.2199842929840088, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.73055624961853, + "epoch": 6.181349376880103, + "grad_norm": 1.265625, + "learning_rate": 0.00021720474334254675, + "loss": 4.9447, + "mean_token_accuracy": 0.22651222050189973, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.759624099731445, + "epoch": 6.185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9736, + "mean_token_accuracy": 0.22720245718955995, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.735679626464844, + "epoch": 6.189944134078212, + "grad_norm": 1.421875, + "learning_rate": 0.00021656234305092377, + "loss": 4.975, + "mean_token_accuracy": 0.2323437213897705, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.745137310028076, + "epoch": 6.194241512677267, + "grad_norm": 1.4140625, + "learning_rate": 0.0002162413339612234, + "loss": 5.0005, + "mean_token_accuracy": 0.22740160077810287, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.718288230895996, + "epoch": 6.198538891276321, + "grad_norm": 1.3359375, + "learning_rate": 0.00021592045317696406, + "loss": 4.9514, + "mean_token_accuracy": 0.23580033779144288, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.710982465744019, + "epoch": 6.202836269875376, + "grad_norm": 1.3125, + "learning_rate": 0.00021559970139882102, + "loss": 4.9237, + "mean_token_accuracy": 0.2312058076262474, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.825408935546875, + "epoch": 6.20713364847443, + "grad_norm": 1.28125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0725, + "mean_token_accuracy": 0.21972693353891373, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.790244007110596, + "epoch": 6.211431027073485, + "grad_norm": 1.09375, + "learning_rate": 0.00021495858766217558, + "loss": 5.0404, + "mean_token_accuracy": 0.22273045629262925, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.7194140434265135, + "epoch": 6.2157284056725395, + "grad_norm": 1.3046875, + "learning_rate": 0.00021463822710360932, + "loss": 4.9014, + "mean_token_accuracy": 0.24048465341329575, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.779071998596192, + "epoch": 6.220025784271594, + "grad_norm": 1.1796875, + "learning_rate": 0.00021431799835102867, + "loss": 4.9939, + "mean_token_accuracy": 0.21844286173582078, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.685627555847168, + "epoch": 6.224323162870649, + "grad_norm": 1.21875, + "learning_rate": 0.00021399790210368524, + "loss": 4.9544, + "mean_token_accuracy": 0.23447279185056685, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.796992540359497, + "epoch": 6.228620541469703, + "grad_norm": 1.09375, + "learning_rate": 0.00021367793906054133, + "loss": 5.1382, + "mean_token_accuracy": 0.21883737295866013, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.745621395111084, + "epoch": 6.232917920068758, + "grad_norm": 1.296875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9842, + "mean_token_accuracy": 0.23670983910560608, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.774166917800903, + "epoch": 6.237215298667812, + "grad_norm": 1.359375, + "learning_rate": 0.00021303841538124497, + "loss": 5.0301, + "mean_token_accuracy": 0.22270644307136536, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.739467716217041, + "epoch": 6.241512677266867, + "grad_norm": 1.2890625, + "learning_rate": 0.00021271885614155685, + "loss": 4.9759, + "mean_token_accuracy": 0.2304987356066704, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.677531290054321, + "epoch": 6.245810055865922, + "grad_norm": 1.3359375, + "learning_rate": 0.0002123994328989932, + "loss": 4.9028, + "mean_token_accuracy": 0.23297007828950883, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.756556558609009, + "epoch": 6.250107434464977, + "grad_norm": 1.2578125, + "learning_rate": 0.00021208014635104688, + "loss": 5.0535, + "mean_token_accuracy": 0.22601591944694518, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.749277067184448, + "epoch": 6.254404813064031, + "grad_norm": 1.2578125, + "learning_rate": 0.00021176099719491209, + "loss": 5.0007, + "mean_token_accuracy": 0.2263491541147232, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.685416126251221, + "epoch": 6.258702191663086, + "grad_norm": 1.3359375, + "learning_rate": 0.00021144198612748312, + "loss": 4.9414, + "mean_token_accuracy": 0.23242014199495314, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.764989757537842, + "epoch": 6.26299957026214, + "grad_norm": 1.1875, + "learning_rate": 0.00021112311384535243, + "loss": 5.0379, + "mean_token_accuracy": 0.2274124652147293, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.769240140914917, + "epoch": 6.267296948861195, + "grad_norm": 1.140625, + "learning_rate": 0.00021080438104480976, + "loss": 4.9756, + "mean_token_accuracy": 0.22864962965250016, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.7997815132141115, + "epoch": 6.2715943274602495, + "grad_norm": 1.125, + "learning_rate": 0.00021048578842184019, + "loss": 5.0686, + "mean_token_accuracy": 0.2189205065369606, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.721390676498413, + "epoch": 6.275891706059304, + "grad_norm": 1.2578125, + "learning_rate": 0.00021016733667212245, + "loss": 4.9673, + "mean_token_accuracy": 0.23466121554374694, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.712722826004028, + "epoch": 6.280189084658359, + "grad_norm": 1.0859375, + "learning_rate": 0.00020984902649102806, + "loss": 4.9483, + "mean_token_accuracy": 0.23197327852249144, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.741777181625366, + "epoch": 6.284486463257413, + "grad_norm": 1.171875, + "learning_rate": 0.00020953085857361924, + "loss": 4.9594, + "mean_token_accuracy": 0.23087407499551774, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.748653316497803, + "epoch": 6.288783841856468, + "grad_norm": 1.3203125, + "learning_rate": 0.00020921283361464754, + "loss": 5.0503, + "mean_token_accuracy": 0.2205579772591591, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.742294883728027, + "epoch": 6.293081220455522, + "grad_norm": 1.265625, + "learning_rate": 0.00020889495230855232, + "loss": 5.0249, + "mean_token_accuracy": 0.22402707636356353, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.708799171447754, + "epoch": 6.297378599054577, + "grad_norm": 1.203125, + "learning_rate": 0.00020857721534945923, + "loss": 4.9556, + "mean_token_accuracy": 0.24121423661708832, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.784104108810425, + "epoch": 6.301675977653631, + "grad_norm": 1.2421875, + "learning_rate": 0.0002082596234311789, + "loss": 5.0456, + "mean_token_accuracy": 0.219855660200119, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.7998706817626955, + "epoch": 6.305973356252686, + "grad_norm": 1.25, + "learning_rate": 0.0002079421772472051, + "loss": 5.0971, + "mean_token_accuracy": 0.21683503985404967, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.7793018341064455, + "epoch": 6.31027073485174, + "grad_norm": 1.078125, + "learning_rate": 0.0002076248774907134, + "loss": 5.0597, + "mean_token_accuracy": 0.22228462994098663, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.72367901802063, + "epoch": 6.314568113450795, + "grad_norm": 1.40625, + "learning_rate": 0.00020730772485455962, + "loss": 4.8861, + "mean_token_accuracy": 0.23987846970558166, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.775143098831177, + "epoch": 6.3188654920498495, + "grad_norm": 1.1328125, + "learning_rate": 0.0002069907200312785, + "loss": 5.0529, + "mean_token_accuracy": 0.22475336343050004, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.733593416213989, + "epoch": 6.323162870648904, + "grad_norm": 1.2734375, + "learning_rate": 0.00020667386371308162, + "loss": 5.0338, + "mean_token_accuracy": 0.22324397265911103, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.727029609680176, + "epoch": 6.327460249247959, + "grad_norm": 1.1640625, + "learning_rate": 0.00020635715659185673, + "loss": 4.9713, + "mean_token_accuracy": 0.22889943718910216, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.694593620300293, + "epoch": 6.331757627847013, + "grad_norm": 1.34375, + "learning_rate": 0.00020604059935916551, + "loss": 4.9342, + "mean_token_accuracy": 0.23273587673902513, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.74878888130188, + "epoch": 6.336055006446068, + "grad_norm": 1.328125, + "learning_rate": 0.00020572419270624255, + "loss": 5.0243, + "mean_token_accuracy": 0.22675324082374573, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.752114963531494, + "epoch": 6.340352385045122, + "grad_norm": 1.2421875, + "learning_rate": 0.00020540793732399339, + "loss": 5.089, + "mean_token_accuracy": 0.21984241157770157, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.836174726486206, + "epoch": 6.344649763644177, + "grad_norm": 1.28125, + "learning_rate": 0.00020509183390299325, + "loss": 5.1788, + "mean_token_accuracy": 0.20899358093738557, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.69023060798645, + "epoch": 6.348947142243231, + "grad_norm": 1.21875, + "learning_rate": 0.00020477588313348594, + "loss": 4.889, + "mean_token_accuracy": 0.24538520127534866, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.802966070175171, + "epoch": 6.353244520842286, + "grad_norm": 1.390625, + "learning_rate": 0.00020446008570538154, + "loss": 5.0105, + "mean_token_accuracy": 0.21989744454622268, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.722886657714843, + "epoch": 6.35754189944134, + "grad_norm": 1.2734375, + "learning_rate": 0.0002041444423082554, + "loss": 4.951, + "mean_token_accuracy": 0.2331815704703331, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.771057939529419, + "epoch": 6.361839278040395, + "grad_norm": 1.2578125, + "learning_rate": 0.00020382895363134652, + "loss": 5.0203, + "mean_token_accuracy": 0.21479823887348176, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.738609075546265, + "epoch": 6.3661366566394495, + "grad_norm": 1.2734375, + "learning_rate": 0.00020351362036355602, + "loss": 5.0325, + "mean_token_accuracy": 0.2201032057404518, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.718414974212647, + "epoch": 6.370434035238505, + "grad_norm": 1.2109375, + "learning_rate": 0.0002031984431934459, + "loss": 4.9876, + "mean_token_accuracy": 0.23637728095054628, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.77166337966919, + "epoch": 6.3747314138375595, + "grad_norm": 1.21875, + "learning_rate": 0.00020288342280923695, + "loss": 4.9674, + "mean_token_accuracy": 0.2354439154267311, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.739843845367432, + "epoch": 6.379028792436614, + "grad_norm": 1.2421875, + "learning_rate": 0.00020256855989880785, + "loss": 5.0041, + "mean_token_accuracy": 0.22339748293161393, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.659921026229858, + "epoch": 6.383326171035669, + "grad_norm": 1.25, + "learning_rate": 0.00020225385514969336, + "loss": 4.9686, + "mean_token_accuracy": 0.23669744431972503, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.755312919616699, + "epoch": 6.387623549634723, + "grad_norm": 1.21875, + "learning_rate": 0.00020193930924908277, + "loss": 5.0504, + "mean_token_accuracy": 0.22853563725948334, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.736734771728516, + "epoch": 6.391920928233778, + "grad_norm": 1.125, + "learning_rate": 0.00020162492288381867, + "loss": 4.9714, + "mean_token_accuracy": 0.228364035487175, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.719764518737793, + "epoch": 6.396218306832832, + "grad_norm": 1.1328125, + "learning_rate": 0.0002013106967403953, + "loss": 4.9222, + "mean_token_accuracy": 0.23592597395181655, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.787017345428467, + "epoch": 6.400515685431887, + "grad_norm": 1.3359375, + "learning_rate": 0.0002009966315049569, + "loss": 5.0318, + "mean_token_accuracy": 0.22964833080768585, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.761588859558105, + "epoch": 6.404813064030941, + "grad_norm": 1.2109375, + "learning_rate": 0.0002006827278632964, + "loss": 5.0439, + "mean_token_accuracy": 0.2232115238904953, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.755409479141235, + "epoch": 6.409110442629996, + "grad_norm": 1.203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.9525, + "mean_token_accuracy": 0.2230154424905777, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.803361701965332, + "epoch": 6.41340782122905, + "grad_norm": 1.328125, + "learning_rate": 0.00020005540810271493, + "loss": 5.1119, + "mean_token_accuracy": 0.2120390772819519, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.738029098510742, + "epoch": 6.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.00019974199335360976, + "loss": 5.0176, + "mean_token_accuracy": 0.22733247876167298, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.715477800369262, + "epoch": 6.4220025784271595, + "grad_norm": 1.296875, + "learning_rate": 0.00019942874293791068, + "loss": 4.9729, + "mean_token_accuracy": 0.22815978080034255, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.7811461925506595, + "epoch": 6.426299957026214, + "grad_norm": 1.265625, + "learning_rate": 0.00019911565753963145, + "loss": 5.1105, + "mean_token_accuracy": 0.21590404063463212, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.77233510017395, + "epoch": 6.430597335625269, + "grad_norm": 1.140625, + "learning_rate": 0.0001988027378424254, + "loss": 5.0182, + "mean_token_accuracy": 0.23077472299337387, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.686518621444702, + "epoch": 6.434894714224323, + "grad_norm": 1.3828125, + "learning_rate": 0.00019848998452958429, + "loss": 4.9077, + "mean_token_accuracy": 0.23786175549030303, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.765685796737671, + "epoch": 6.439192092823378, + "grad_norm": 1.1796875, + "learning_rate": 0.00019817739828403602, + "loss": 5.0519, + "mean_token_accuracy": 0.21631892621517182, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.826940727233887, + "epoch": 6.443489471422432, + "grad_norm": 1.15625, + "learning_rate": 0.00019786497978834422, + "loss": 4.9489, + "mean_token_accuracy": 0.23657962381839753, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.557100028605075, + "eval_loss": 5.904560089111328, + "eval_mean_token_accuracy": 0.18100960485570067, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.0529, + "eval_samples_per_second": 1728.761, + "eval_steps_per_second": 216.278, + "step": 7500 + }, + { + "entropy": 5.727175378799439, + "epoch": 6.447786850021487, + "grad_norm": 1.2734375, + "learning_rate": 0.00019755272972470602, + "loss": 5.0162, + "mean_token_accuracy": 0.2280375748872757, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.728924798965454, + "epoch": 6.452084228620541, + "grad_norm": 1.3359375, + "learning_rate": 0.00019724064877495057, + "loss": 5.0136, + "mean_token_accuracy": 0.22045981138944626, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.708987665176392, + "epoch": 6.456381607219596, + "grad_norm": 1.2890625, + "learning_rate": 0.00019692873762053808, + "loss": 4.9363, + "mean_token_accuracy": 0.23248431831598282, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.81019959449768, + "epoch": 6.46067898581865, + "grad_norm": 1.109375, + "learning_rate": 0.00019661699694255785, + "loss": 5.0342, + "mean_token_accuracy": 0.22640468925237656, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.823298740386963, + "epoch": 6.464976364417705, + "grad_norm": 1.3515625, + "learning_rate": 0.00019630542742172692, + "loss": 4.9734, + "mean_token_accuracy": 0.23476444482803344, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.7843626022338865, + "epoch": 6.4692737430167595, + "grad_norm": 1.234375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0717, + "mean_token_accuracy": 0.22082927227020263, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.755879306793213, + "epoch": 6.473571121615814, + "grad_norm": 1.3515625, + "learning_rate": 0.0001956828045725107, + "loss": 5.0679, + "mean_token_accuracy": 0.2204177588224411, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.725975036621094, + "epoch": 6.477868500214869, + "grad_norm": 1.234375, + "learning_rate": 0.0001953717526036849, + "loss": 4.9523, + "mean_token_accuracy": 0.23214234560728073, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.751292133331299, + "epoch": 6.482165878813923, + "grad_norm": 1.296875, + "learning_rate": 0.00019506087451112437, + "loss": 4.9708, + "mean_token_accuracy": 0.2247476503252983, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.700674152374267, + "epoch": 6.486463257412978, + "grad_norm": 1.359375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8844, + "mean_token_accuracy": 0.23299427032470704, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.7830650806427, + "epoch": 6.490760636012032, + "grad_norm": 1.296875, + "learning_rate": 0.00019443964266975156, + "loss": 5.0499, + "mean_token_accuracy": 0.21963311433792115, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.730917930603027, + "epoch": 6.495058014611088, + "grad_norm": 1.265625, + "learning_rate": 0.0001941292902774614, + "loss": 5.0172, + "mean_token_accuracy": 0.2203517660498619, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.710373449325561, + "epoch": 6.499355393210142, + "grad_norm": 1.1796875, + "learning_rate": 0.00019381911447447742, + "loss": 5.0008, + "mean_token_accuracy": 0.22881685942411423, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.804109764099121, + "epoch": 6.503652771809197, + "grad_norm": 1.375, + "learning_rate": 0.00019350911593809977, + "loss": 5.0596, + "mean_token_accuracy": 0.2185147598385811, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.796328210830689, + "epoch": 6.507950150408251, + "grad_norm": 1.15625, + "learning_rate": 0.00019319929534524128, + "loss": 5.0527, + "mean_token_accuracy": 0.21946843713521957, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.753546905517578, + "epoch": 6.512247529007306, + "grad_norm": 1.25, + "learning_rate": 0.00019288965337242636, + "loss": 5.0015, + "mean_token_accuracy": 0.22280348986387252, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.834137105941773, + "epoch": 6.51654490760636, + "grad_norm": 1.2265625, + "learning_rate": 0.00019258019069578924, + "loss": 5.1504, + "mean_token_accuracy": 0.21845682412385942, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.684184217453003, + "epoch": 6.520842286205415, + "grad_norm": 1.28125, + "learning_rate": 0.00019227090799107266, + "loss": 4.9946, + "mean_token_accuracy": 0.2286797657608986, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.70582799911499, + "epoch": 6.5251396648044695, + "grad_norm": 1.1953125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8744, + "mean_token_accuracy": 0.2416084885597229, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.78764591217041, + "epoch": 6.529437043403524, + "grad_norm": 1.328125, + "learning_rate": 0.00019165288519840617, + "loss": 5.0296, + "mean_token_accuracy": 0.2230227395892143, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.698198080062866, + "epoch": 6.533734422002579, + "grad_norm": 1.328125, + "learning_rate": 0.000191344146459971, + "loss": 4.961, + "mean_token_accuracy": 0.22928732633590698, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.721844005584717, + "epoch": 6.538031800601633, + "grad_norm": 1.2109375, + "learning_rate": 0.00019103559039248302, + "loss": 5.0155, + "mean_token_accuracy": 0.2294679179787636, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.793222379684448, + "epoch": 6.542329179200688, + "grad_norm": 1.3203125, + "learning_rate": 0.0001907272176697052, + "loss": 5.0293, + "mean_token_accuracy": 0.22645544707775117, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.677641916275024, + "epoch": 6.546626557799742, + "grad_norm": 1.2265625, + "learning_rate": 0.00019041902896500059, + "loss": 4.9707, + "mean_token_accuracy": 0.23405378609895705, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.752673006057739, + "epoch": 6.550923936398797, + "grad_norm": 1.28125, + "learning_rate": 0.00019011102495132993, + "loss": 4.9868, + "mean_token_accuracy": 0.22904991656541823, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.830902004241944, + "epoch": 6.555221314997851, + "grad_norm": 1.0546875, + "learning_rate": 0.00018980320630125104, + "loss": 5.1423, + "mean_token_accuracy": 0.2158060148358345, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.79814453125, + "epoch": 6.559518693596906, + "grad_norm": 1.46875, + "learning_rate": 0.00018949557368691666, + "loss": 5.0261, + "mean_token_accuracy": 0.22538177222013472, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.767509126663208, + "epoch": 6.56381607219596, + "grad_norm": 1.171875, + "learning_rate": 0.00018918812778007343, + "loss": 5.0624, + "mean_token_accuracy": 0.22678313702344893, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.741885089874268, + "epoch": 6.568113450795015, + "grad_norm": 1.234375, + "learning_rate": 0.00018888086925206054, + "loss": 5.0, + "mean_token_accuracy": 0.22480978667736054, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.779563140869141, + "epoch": 6.5724108293940695, + "grad_norm": 1.34375, + "learning_rate": 0.00018857379877380763, + "loss": 5.0356, + "mean_token_accuracy": 0.228300940990448, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.724088335037232, + "epoch": 6.576708207993124, + "grad_norm": 1.1875, + "learning_rate": 0.00018826691701583404, + "loss": 5.0442, + "mean_token_accuracy": 0.22599031925201415, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.766824007034302, + "epoch": 6.581005586592179, + "grad_norm": 1.296875, + "learning_rate": 0.00018796022464824663, + "loss": 4.9931, + "mean_token_accuracy": 0.2276449218392372, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.812344980239868, + "epoch": 6.585302965191233, + "grad_norm": 1.2734375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0941, + "mean_token_accuracy": 0.21494560092687606, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.75049843788147, + "epoch": 6.589600343790288, + "grad_norm": 1.3828125, + "learning_rate": 0.00018734741076259005, + "loss": 5.1121, + "mean_token_accuracy": 0.2118251845240593, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.690277910232544, + "epoch": 6.593897722389342, + "grad_norm": 1.1640625, + "learning_rate": 0.00018704129058266152, + "loss": 4.9681, + "mean_token_accuracy": 0.23356643468141555, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.818869304656983, + "epoch": 6.598195100988397, + "grad_norm": 1.234375, + "learning_rate": 0.00018673536246939743, + "loss": 5.0863, + "mean_token_accuracy": 0.2218109503388405, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.748479413986206, + "epoch": 6.602492479587451, + "grad_norm": 1.3515625, + "learning_rate": 0.00018642962709082274, + "loss": 5.0471, + "mean_token_accuracy": 0.22789418399333955, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.7032506465911865, + "epoch": 6.606789858186506, + "grad_norm": 1.3046875, + "learning_rate": 0.00018612408511454103, + "loss": 4.9048, + "mean_token_accuracy": 0.23088316321372987, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.7426300048828125, + "epoch": 6.61108723678556, + "grad_norm": 1.2890625, + "learning_rate": 0.00018581873720773423, + "loss": 4.9813, + "mean_token_accuracy": 0.23071062564849854, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.743307399749756, + "epoch": 6.615384615384615, + "grad_norm": 1.234375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0658, + "mean_token_accuracy": 0.21717096418142318, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.780385732650757, + "epoch": 6.61968199398367, + "grad_norm": 1.2890625, + "learning_rate": 0.00018520862626915052, + "loss": 4.9593, + "mean_token_accuracy": 0.2303201287984848, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.758582687377929, + "epoch": 6.623979372582724, + "grad_norm": 1.1953125, + "learning_rate": 0.00018490386456961223, + "loss": 4.9535, + "mean_token_accuracy": 0.229754213988781, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.761456108093261, + "epoch": 6.6282767511817795, + "grad_norm": 1.2421875, + "learning_rate": 0.0001845992996040224, + "loss": 5.0385, + "mean_token_accuracy": 0.22799862772226334, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.693759107589722, + "epoch": 6.632574129780834, + "grad_norm": 1.25, + "learning_rate": 0.00018429493203742946, + "loss": 4.9434, + "mean_token_accuracy": 0.23615066856145858, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.743652820587158, + "epoch": 6.636871508379889, + "grad_norm": 1.3984375, + "learning_rate": 0.00018399076253445052, + "loss": 4.903, + "mean_token_accuracy": 0.23021777719259262, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.745870208740234, + "epoch": 6.641168886978943, + "grad_norm": 1.28125, + "learning_rate": 0.00018368679175927012, + "loss": 4.9386, + "mean_token_accuracy": 0.238407401740551, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.683894968032837, + "epoch": 6.645466265577998, + "grad_norm": 1.28125, + "learning_rate": 0.00018338302037563885, + "loss": 4.898, + "mean_token_accuracy": 0.24091770648956298, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.7170616626739506, + "epoch": 6.649763644177052, + "grad_norm": 1.328125, + "learning_rate": 0.00018307944904687211, + "loss": 4.9888, + "mean_token_accuracy": 0.22879648357629775, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.774936103820801, + "epoch": 6.654061022776107, + "grad_norm": 1.4296875, + "learning_rate": 0.0001827760784358483, + "loss": 5.0723, + "mean_token_accuracy": 0.21478112488985063, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.800827121734619, + "epoch": 6.658358401375161, + "grad_norm": 1.25, + "learning_rate": 0.00018247290920500776, + "loss": 5.0417, + "mean_token_accuracy": 0.22413471043109895, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.783909034729004, + "epoch": 6.662655779974216, + "grad_norm": 1.3515625, + "learning_rate": 0.00018216994201635062, + "loss": 5.0219, + "mean_token_accuracy": 0.2250862166285515, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.768687295913696, + "epoch": 6.66695315857327, + "grad_norm": 1.34375, + "learning_rate": 0.00018186717753143633, + "loss": 4.9803, + "mean_token_accuracy": 0.22687984108924866, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.759476661682129, + "epoch": 6.671250537172325, + "grad_norm": 1.171875, + "learning_rate": 0.00018156461641138133, + "loss": 5.047, + "mean_token_accuracy": 0.2235451176762581, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.760025405883789, + "epoch": 6.6755479157713795, + "grad_norm": 1.203125, + "learning_rate": 0.00018126225931685836, + "loss": 4.9904, + "mean_token_accuracy": 0.2259608507156372, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.67072057723999, + "epoch": 6.679845294370434, + "grad_norm": 1.265625, + "learning_rate": 0.00018096010690809444, + "loss": 4.9147, + "mean_token_accuracy": 0.23884862661361694, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.767531013488769, + "epoch": 6.684142672969489, + "grad_norm": 1.234375, + "learning_rate": 0.00018065815984486962, + "loss": 5.0719, + "mean_token_accuracy": 0.2180321991443634, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.758095407485962, + "epoch": 6.688440051568543, + "grad_norm": 1.296875, + "learning_rate": 0.00018035641878651548, + "loss": 4.9592, + "mean_token_accuracy": 0.22789613008499146, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.728698348999023, + "epoch": 6.692737430167598, + "grad_norm": 1.40625, + "learning_rate": 0.00018005488439191408, + "loss": 4.9382, + "mean_token_accuracy": 0.23120807409286498, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.755050468444824, + "epoch": 6.697034808766652, + "grad_norm": 1.359375, + "learning_rate": 0.0001797535573194959, + "loss": 5.069, + "mean_token_accuracy": 0.22951823174953462, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.732662105560303, + "epoch": 6.701332187365707, + "grad_norm": 1.1484375, + "learning_rate": 0.0001794524382272389, + "loss": 4.9929, + "mean_token_accuracy": 0.22708707451820373, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.719165086746216, + "epoch": 6.705629565964761, + "grad_norm": 1.1171875, + "learning_rate": 0.0001791515277726667, + "loss": 5.0178, + "mean_token_accuracy": 0.23272869884967803, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.685248327255249, + "epoch": 6.709926944563816, + "grad_norm": 1.234375, + "learning_rate": 0.00017885082661284763, + "loss": 4.9347, + "mean_token_accuracy": 0.23434123396873474, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.723914051055909, + "epoch": 6.71422432316287, + "grad_norm": 1.171875, + "learning_rate": 0.00017855033540439274, + "loss": 5.0669, + "mean_token_accuracy": 0.22158386409282685, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.7335141658782955, + "epoch": 6.718521701761925, + "grad_norm": 1.3828125, + "learning_rate": 0.00017825005480345463, + "loss": 5.0577, + "mean_token_accuracy": 0.22551996409893035, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.736531066894531, + "epoch": 6.7228190803609795, + "grad_norm": 1.34375, + "learning_rate": 0.00017794998546572627, + "loss": 4.9062, + "mean_token_accuracy": 0.2371249318122864, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.791633462905883, + "epoch": 6.727116458960034, + "grad_norm": 1.1328125, + "learning_rate": 0.0001776501280464391, + "loss": 5.0048, + "mean_token_accuracy": 0.22887726873159409, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.764397811889649, + "epoch": 6.731413837559089, + "grad_norm": 1.4375, + "learning_rate": 0.00017735048320036197, + "loss": 4.9561, + "mean_token_accuracy": 0.22443322390317916, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.752367305755615, + "epoch": 6.735711216158143, + "grad_norm": 1.359375, + "learning_rate": 0.00017705105158179917, + "loss": 5.0901, + "mean_token_accuracy": 0.2143208220601082, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.8044846534729, + "epoch": 6.740008594757198, + "grad_norm": 1.1796875, + "learning_rate": 0.00017675183384458987, + "loss": 5.087, + "mean_token_accuracy": 0.2191782310605049, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.775960302352905, + "epoch": 6.744305973356253, + "grad_norm": 1.359375, + "learning_rate": 0.00017645283064210616, + "loss": 4.9647, + "mean_token_accuracy": 0.2325132444500923, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.749928951263428, + "epoch": 6.748603351955307, + "grad_norm": 1.328125, + "learning_rate": 0.00017615404262725132, + "loss": 5.0314, + "mean_token_accuracy": 0.22753766030073166, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.734545373916626, + "epoch": 6.752900730554362, + "grad_norm": 1.3359375, + "learning_rate": 0.00017585547045245885, + "loss": 4.9699, + "mean_token_accuracy": 0.23684488236904144, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.7363245487213135, + "epoch": 6.757198109153417, + "grad_norm": 1.2890625, + "learning_rate": 0.00017555711476969138, + "loss": 4.9907, + "mean_token_accuracy": 0.22701586335897445, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.775456809997559, + "epoch": 6.761495487752471, + "grad_norm": 1.3515625, + "learning_rate": 0.00017525897623043806, + "loss": 4.9727, + "mean_token_accuracy": 0.23112321645021439, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.800004673004151, + "epoch": 6.765792866351526, + "grad_norm": 1.3828125, + "learning_rate": 0.00017496105548571472, + "loss": 5.0746, + "mean_token_accuracy": 0.21700311601161956, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.758483266830444, + "epoch": 6.77009024495058, + "grad_norm": 1.3671875, + "learning_rate": 0.00017466335318606086, + "loss": 5.0075, + "mean_token_accuracy": 0.22559448331594467, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.755596733093261, + "epoch": 6.774387623549635, + "grad_norm": 1.1640625, + "learning_rate": 0.00017436586998153947, + "loss": 4.9798, + "mean_token_accuracy": 0.2367397665977478, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.720788049697876, + "epoch": 6.7786850021486895, + "grad_norm": 1.140625, + "learning_rate": 0.00017406860652173495, + "loss": 4.9967, + "mean_token_accuracy": 0.2273873805999756, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.808590507507324, + "epoch": 6.782982380747744, + "grad_norm": 1.375, + "learning_rate": 0.00017377156345575176, + "loss": 5.0183, + "mean_token_accuracy": 0.22628037482500077, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.682976245880127, + "epoch": 6.787279759346799, + "grad_norm": 1.28125, + "learning_rate": 0.00017347474143221338, + "loss": 4.9242, + "mean_token_accuracy": 0.23774727880954744, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.8283007621765135, + "epoch": 6.791577137945853, + "grad_norm": 1.234375, + "learning_rate": 0.00017317814109926044, + "loss": 5.0366, + "mean_token_accuracy": 0.21837185621261596, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.667750120162964, + "epoch": 6.795874516544908, + "grad_norm": 1.15625, + "learning_rate": 0.0001728817631045495, + "loss": 5.0011, + "mean_token_accuracy": 0.2289063662290573, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.640456008911133, + "epoch": 6.800171895143962, + "grad_norm": 1.1796875, + "learning_rate": 0.0001725856080952516, + "loss": 4.9272, + "mean_token_accuracy": 0.24358929991722106, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.670576524734497, + "epoch": 6.804469273743017, + "grad_norm": 1.2890625, + "learning_rate": 0.0001722896767180509, + "loss": 4.9289, + "mean_token_accuracy": 0.23665995746850968, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.732269239425659, + "epoch": 6.808766652342071, + "grad_norm": 1.2109375, + "learning_rate": 0.00017199396961914334, + "loss": 5.0311, + "mean_token_accuracy": 0.22220169007778168, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.715225648880005, + "epoch": 6.813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.00017169848744423506, + "loss": 4.9637, + "mean_token_accuracy": 0.2225647196173668, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.790431547164917, + "epoch": 6.81736140954018, + "grad_norm": 1.125, + "learning_rate": 0.00017140323083854076, + "loss": 5.0946, + "mean_token_accuracy": 0.2200735867023468, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.755757904052734, + "epoch": 6.821658788139235, + "grad_norm": 1.2578125, + "learning_rate": 0.00017110820044678317, + "loss": 5.0775, + "mean_token_accuracy": 0.21869605481624604, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.736237001419068, + "epoch": 6.8259561667382895, + "grad_norm": 1.234375, + "learning_rate": 0.00017081339691319054, + "loss": 4.9942, + "mean_token_accuracy": 0.22483924329280852, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.748126602172851, + "epoch": 6.830253545337344, + "grad_norm": 1.234375, + "learning_rate": 0.00017051882088149612, + "loss": 4.9811, + "mean_token_accuracy": 0.22612235695123672, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.7769842624664305, + "epoch": 6.834550923936399, + "grad_norm": 1.265625, + "learning_rate": 0.00017022447299493599, + "loss": 4.9711, + "mean_token_accuracy": 0.22626492232084275, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.7788252353668215, + "epoch": 6.838848302535453, + "grad_norm": 1.1796875, + "learning_rate": 0.00016993035389624854, + "loss": 5.0858, + "mean_token_accuracy": 0.21990473121404647, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.741082191467285, + "epoch": 6.843145681134508, + "grad_norm": 1.3046875, + "learning_rate": 0.0001696364642276722, + "loss": 4.9851, + "mean_token_accuracy": 0.22639018148183823, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.7685614109039305, + "epoch": 6.847443059733562, + "grad_norm": 1.2265625, + "learning_rate": 0.00016934280463094448, + "loss": 5.0548, + "mean_token_accuracy": 0.22486061602830887, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.685476779937744, + "epoch": 6.851740438332617, + "grad_norm": 1.453125, + "learning_rate": 0.00016904937574730062, + "loss": 4.8962, + "mean_token_accuracy": 0.2398315191268921, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.743455696105957, + "epoch": 6.856037816931671, + "grad_norm": 1.5, + "learning_rate": 0.00016875617821747208, + "loss": 5.0165, + "mean_token_accuracy": 0.22508815228939055, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.707944107055664, + "epoch": 6.860335195530726, + "grad_norm": 1.109375, + "learning_rate": 0.00016846321268168508, + "loss": 5.0198, + "mean_token_accuracy": 0.22508743554353713, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.765905380249023, + "epoch": 6.8646325741297805, + "grad_norm": 1.2578125, + "learning_rate": 0.00016817047977965905, + "loss": 4.9763, + "mean_token_accuracy": 0.23366623669862746, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.791642904281616, + "epoch": 6.868929952728836, + "grad_norm": 1.359375, + "learning_rate": 0.0001678779801506058, + "loss": 5.012, + "mean_token_accuracy": 0.2229594960808754, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.769171142578125, + "epoch": 6.8732273313278895, + "grad_norm": 1.265625, + "learning_rate": 0.00016758571443322774, + "loss": 5.032, + "mean_token_accuracy": 0.2259478285908699, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.577934592156796, + "eval_loss": 5.886641502380371, + "eval_mean_token_accuracy": 0.1824896966887487, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.627, + "eval_steps_per_second": 216.386, + "step": 8000 + }, + { + "entropy": 5.687022161483765, + "epoch": 6.877524709926945, + "grad_norm": 1.234375, + "learning_rate": 0.0001672936832657162, + "loss": 4.9468, + "mean_token_accuracy": 0.23986830711364746, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.782396030426026, + "epoch": 6.8818220885259995, + "grad_norm": 1.453125, + "learning_rate": 0.00016700188728575047, + "loss": 5.1143, + "mean_token_accuracy": 0.21532667577266693, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.728854513168335, + "epoch": 6.886119467125054, + "grad_norm": 1.2421875, + "learning_rate": 0.00016671032713049655, + "loss": 5.032, + "mean_token_accuracy": 0.22852370887994766, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.794173049926758, + "epoch": 6.890416845724109, + "grad_norm": 1.2890625, + "learning_rate": 0.00016641900343660515, + "loss": 5.0466, + "mean_token_accuracy": 0.2290108770132065, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.784524774551391, + "epoch": 6.894714224323163, + "grad_norm": 1.09375, + "learning_rate": 0.0001661279168402107, + "loss": 5.057, + "mean_token_accuracy": 0.2221679225564003, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.757458209991455, + "epoch": 6.899011602922218, + "grad_norm": 1.3359375, + "learning_rate": 0.00016583706797693008, + "loss": 5.018, + "mean_token_accuracy": 0.22664075791835786, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.768005990982056, + "epoch": 6.903308981521272, + "grad_norm": 1.2265625, + "learning_rate": 0.00016554645748186105, + "loss": 5.0602, + "mean_token_accuracy": 0.2278745874762535, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.827671146392822, + "epoch": 6.907606360120327, + "grad_norm": 1.234375, + "learning_rate": 0.00016525608598958063, + "loss": 5.1147, + "mean_token_accuracy": 0.21708249151706696, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.760879182815552, + "epoch": 6.911903738719381, + "grad_norm": 1.28125, + "learning_rate": 0.00016496595413414421, + "loss": 5.0022, + "mean_token_accuracy": 0.2230290189385414, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.73979549407959, + "epoch": 6.916201117318436, + "grad_norm": 1.140625, + "learning_rate": 0.00016467606254908355, + "loss": 4.9485, + "mean_token_accuracy": 0.23578315526247023, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.775144433975219, + "epoch": 6.9204984959174904, + "grad_norm": 1.2421875, + "learning_rate": 0.00016438641186740632, + "loss": 5.0437, + "mean_token_accuracy": 0.22425224334001542, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.746579980850219, + "epoch": 6.924795874516545, + "grad_norm": 1.28125, + "learning_rate": 0.00016409700272159371, + "loss": 5.0538, + "mean_token_accuracy": 0.2254525676369667, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.767870950698852, + "epoch": 6.9290932531155995, + "grad_norm": 1.1796875, + "learning_rate": 0.00016380783574359957, + "loss": 5.0124, + "mean_token_accuracy": 0.22681328803300857, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.733950090408325, + "epoch": 6.933390631714654, + "grad_norm": 1.34375, + "learning_rate": 0.0001635189115648491, + "loss": 5.0125, + "mean_token_accuracy": 0.22621434628963472, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.69383544921875, + "epoch": 6.937688010313709, + "grad_norm": 1.3203125, + "learning_rate": 0.00016323023081623705, + "loss": 4.9481, + "mean_token_accuracy": 0.23518468737602233, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.801571559906006, + "epoch": 6.941985388912763, + "grad_norm": 1.21875, + "learning_rate": 0.00016294179412812702, + "loss": 5.0666, + "mean_token_accuracy": 0.21386227756738663, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.769373989105224, + "epoch": 6.946282767511818, + "grad_norm": 1.2734375, + "learning_rate": 0.00016265360213034923, + "loss": 5.1267, + "mean_token_accuracy": 0.20773181766271592, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.71826205253601, + "epoch": 6.950580146110872, + "grad_norm": 1.1015625, + "learning_rate": 0.00016236565545220007, + "loss": 5.0173, + "mean_token_accuracy": 0.2249780148267746, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.745194053649902, + "epoch": 6.954877524709927, + "grad_norm": 1.1640625, + "learning_rate": 0.00016207795472243975, + "loss": 4.9274, + "mean_token_accuracy": 0.23496925532817842, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.830715799331665, + "epoch": 6.959174903308981, + "grad_norm": 1.4375, + "learning_rate": 0.00016179050056929173, + "loss": 5.115, + "mean_token_accuracy": 0.21429842114448547, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.752058267593384, + "epoch": 6.963472281908036, + "grad_norm": 1.3203125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9985, + "mean_token_accuracy": 0.2300025776028633, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.76392502784729, + "epoch": 6.9677696605070905, + "grad_norm": 1.1796875, + "learning_rate": 0.00016121633450303285, + "loss": 5.0026, + "mean_token_accuracy": 0.22468472868204117, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.854573678970337, + "epoch": 6.972067039106145, + "grad_norm": 1.1640625, + "learning_rate": 0.00016092962384367122, + "loss": 5.1148, + "mean_token_accuracy": 0.22219625413417815, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.706526899337769, + "epoch": 6.9763644177051995, + "grad_norm": 1.234375, + "learning_rate": 0.0001606431622684176, + "loss": 5.0008, + "mean_token_accuracy": 0.232183800637722, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.743291187286377, + "epoch": 6.980661796304254, + "grad_norm": 1.2109375, + "learning_rate": 0.00016035695040278935, + "loss": 5.0402, + "mean_token_accuracy": 0.22681437730789183, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.808922386169433, + "epoch": 6.984959174903309, + "grad_norm": 1.1875, + "learning_rate": 0.00016007098887175914, + "loss": 5.0685, + "mean_token_accuracy": 0.2192844942212105, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.790175151824951, + "epoch": 6.989256553502363, + "grad_norm": 1.390625, + "learning_rate": 0.00015978527829975254, + "loss": 4.983, + "mean_token_accuracy": 0.22973400801420213, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.751619052886963, + "epoch": 6.993553932101419, + "grad_norm": 1.3125, + "learning_rate": 0.00015949981931064714, + "loss": 5.0224, + "mean_token_accuracy": 0.2253705859184265, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.768443250656128, + "epoch": 6.997851310700472, + "grad_norm": 1.3984375, + "learning_rate": 0.0001592146125277714, + "loss": 5.0127, + "mean_token_accuracy": 0.22637296169996263, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.774147987365723, + "epoch": 7.001718951439622, + "grad_norm": 1.1171875, + "learning_rate": 0.00015892965857390278, + "loss": 5.0911, + "mean_token_accuracy": 0.21749180224206713, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.817372131347656, + "epoch": 7.006016330038676, + "grad_norm": 1.2265625, + "learning_rate": 0.00015864495807126704, + "loss": 4.9783, + "mean_token_accuracy": 0.23229083567857742, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.7854362487792965, + "epoch": 7.010313708637731, + "grad_norm": 1.1875, + "learning_rate": 0.00015836051164153602, + "loss": 4.9856, + "mean_token_accuracy": 0.23200100064277648, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.78501672744751, + "epoch": 7.014611087236785, + "grad_norm": 1.328125, + "learning_rate": 0.00015807631990582733, + "loss": 4.9071, + "mean_token_accuracy": 0.23723485916852952, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.789565229415894, + "epoch": 7.01890846583584, + "grad_norm": 1.2109375, + "learning_rate": 0.00015779238348470192, + "loss": 4.8983, + "mean_token_accuracy": 0.24426205605268478, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.664606523513794, + "epoch": 7.023205844434894, + "grad_norm": 1.359375, + "learning_rate": 0.00015750870299816345, + "loss": 4.8615, + "mean_token_accuracy": 0.23574336618185043, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.739161968231201, + "epoch": 7.027503223033949, + "grad_norm": 1.28125, + "learning_rate": 0.00015722527906565672, + "loss": 4.8483, + "mean_token_accuracy": 0.24561480730772017, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.741978025436401, + "epoch": 7.0318006016330035, + "grad_norm": 1.390625, + "learning_rate": 0.00015694211230606647, + "loss": 4.9331, + "mean_token_accuracy": 0.22312296479940413, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.733472061157227, + "epoch": 7.036097980232058, + "grad_norm": 1.2578125, + "learning_rate": 0.00015665920333771564, + "loss": 4.9149, + "mean_token_accuracy": 0.23446937501430512, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.761220645904541, + "epoch": 7.0403953588311134, + "grad_norm": 1.2109375, + "learning_rate": 0.00015637655277836427, + "loss": 4.9316, + "mean_token_accuracy": 0.22786078751087188, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.763401174545288, + "epoch": 7.044692737430168, + "grad_norm": 1.2734375, + "learning_rate": 0.0001560941612452081, + "loss": 4.9279, + "mean_token_accuracy": 0.23226336091756822, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.747837781906128, + "epoch": 7.0489901160292225, + "grad_norm": 1.3359375, + "learning_rate": 0.0001558120293548777, + "loss": 4.9118, + "mean_token_accuracy": 0.24116831719875337, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.794670104980469, + "epoch": 7.053287494628277, + "grad_norm": 1.296875, + "learning_rate": 0.00015553015772343614, + "loss": 5.0002, + "mean_token_accuracy": 0.22521151453256608, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.691853094100952, + "epoch": 7.057584873227332, + "grad_norm": 1.390625, + "learning_rate": 0.00015524854696637847, + "loss": 4.835, + "mean_token_accuracy": 0.2416848361492157, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.698910331726074, + "epoch": 7.061882251826386, + "grad_norm": 1.15625, + "learning_rate": 0.00015496719769862981, + "loss": 4.8624, + "mean_token_accuracy": 0.2372149869799614, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.711551094055176, + "epoch": 7.066179630425441, + "grad_norm": 1.375, + "learning_rate": 0.00015468611053454478, + "loss": 4.8733, + "mean_token_accuracy": 0.2346884161233902, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.747192287445069, + "epoch": 7.070477009024495, + "grad_norm": 1.453125, + "learning_rate": 0.00015440528608790533, + "loss": 4.9477, + "mean_token_accuracy": 0.2333863615989685, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.771088981628418, + "epoch": 7.07477438762355, + "grad_norm": 1.2890625, + "learning_rate": 0.0001541247249719197, + "loss": 4.9389, + "mean_token_accuracy": 0.2317440077662468, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.768611907958984, + "epoch": 7.079071766222604, + "grad_norm": 1.2734375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8873, + "mean_token_accuracy": 0.2359219416975975, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.763613080978393, + "epoch": 7.083369144821659, + "grad_norm": 1.4453125, + "learning_rate": 0.00015356439518186726, + "loss": 4.8693, + "mean_token_accuracy": 0.234014393389225, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.719690227508545, + "epoch": 7.0876665234207135, + "grad_norm": 1.09375, + "learning_rate": 0.00015328462773133672, + "loss": 4.9012, + "mean_token_accuracy": 0.24253213852643968, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.740370655059815, + "epoch": 7.091963902019768, + "grad_norm": 1.28125, + "learning_rate": 0.00015300512605852977, + "loss": 4.982, + "mean_token_accuracy": 0.2293758898973465, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.799237632751465, + "epoch": 7.0962612806188226, + "grad_norm": 1.1796875, + "learning_rate": 0.0001527258907737668, + "loss": 4.9721, + "mean_token_accuracy": 0.22907347977161407, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.73674783706665, + "epoch": 7.100558659217877, + "grad_norm": 1.40625, + "learning_rate": 0.00015244692248678586, + "loss": 4.8556, + "mean_token_accuracy": 0.24554019421339035, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.751060104370117, + "epoch": 7.104856037816932, + "grad_norm": 1.3828125, + "learning_rate": 0.0001521682218067421, + "loss": 4.8882, + "mean_token_accuracy": 0.2414063036441803, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.755550146102905, + "epoch": 7.109153416415986, + "grad_norm": 1.28125, + "learning_rate": 0.00015188978934220642, + "loss": 4.9135, + "mean_token_accuracy": 0.23815136551856994, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.79474835395813, + "epoch": 7.113450795015041, + "grad_norm": 1.1328125, + "learning_rate": 0.0001516116257011641, + "loss": 4.9627, + "mean_token_accuracy": 0.23860295563936235, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.733561706542969, + "epoch": 7.117748173614095, + "grad_norm": 1.140625, + "learning_rate": 0.0001513337314910134, + "loss": 4.9315, + "mean_token_accuracy": 0.22673808336257933, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.687442588806152, + "epoch": 7.12204555221315, + "grad_norm": 1.3359375, + "learning_rate": 0.00015105610731856416, + "loss": 4.8645, + "mean_token_accuracy": 0.24764200150966645, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.72289457321167, + "epoch": 7.126342930812204, + "grad_norm": 1.296875, + "learning_rate": 0.00015077875379003653, + "loss": 4.9086, + "mean_token_accuracy": 0.23524617105722428, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.751125144958496, + "epoch": 7.130640309411259, + "grad_norm": 1.2109375, + "learning_rate": 0.00015050167151105988, + "loss": 4.9784, + "mean_token_accuracy": 0.2345997780561447, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.805935955047607, + "epoch": 7.1349376880103135, + "grad_norm": 1.4453125, + "learning_rate": 0.000150224861086671, + "loss": 4.9293, + "mean_token_accuracy": 0.23530755788087845, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.757468891143799, + "epoch": 7.139235066609368, + "grad_norm": 1.234375, + "learning_rate": 0.00014994832312131332, + "loss": 4.8837, + "mean_token_accuracy": 0.23100620359182358, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.739134931564331, + "epoch": 7.143532445208423, + "grad_norm": 1.3125, + "learning_rate": 0.00014967205821883532, + "loss": 4.9683, + "mean_token_accuracy": 0.2341601148247719, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.77350263595581, + "epoch": 7.147829823807477, + "grad_norm": 1.3828125, + "learning_rate": 0.000149396066982489, + "loss": 4.9054, + "mean_token_accuracy": 0.23744661062955857, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.745607709884643, + "epoch": 7.152127202406532, + "grad_norm": 1.2421875, + "learning_rate": 0.00014912035001492897, + "loss": 4.985, + "mean_token_accuracy": 0.2232433095574379, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.759474182128907, + "epoch": 7.156424581005586, + "grad_norm": 1.3515625, + "learning_rate": 0.00014884490791821058, + "loss": 4.9243, + "mean_token_accuracy": 0.22860487401485444, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.7424744129180905, + "epoch": 7.160721959604641, + "grad_norm": 1.265625, + "learning_rate": 0.00014856974129378981, + "loss": 4.9284, + "mean_token_accuracy": 0.23071371614933014, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.77603006362915, + "epoch": 7.165019338203695, + "grad_norm": 1.2109375, + "learning_rate": 0.0001482948507425203, + "loss": 4.9383, + "mean_token_accuracy": 0.23303324580192566, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.763977718353272, + "epoch": 7.169316716802751, + "grad_norm": 1.1875, + "learning_rate": 0.00014802023686465314, + "loss": 4.9967, + "mean_token_accuracy": 0.22445127367973328, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.731019926071167, + "epoch": 7.173614095401805, + "grad_norm": 1.3046875, + "learning_rate": 0.00014774590025983523, + "loss": 4.8845, + "mean_token_accuracy": 0.2370949223637581, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.717350101470947, + "epoch": 7.17791147400086, + "grad_norm": 1.40625, + "learning_rate": 0.00014747184152710807, + "loss": 4.9213, + "mean_token_accuracy": 0.24155859798192977, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.7321617126464846, + "epoch": 7.182208852599914, + "grad_norm": 1.25, + "learning_rate": 0.00014719806126490658, + "loss": 4.9061, + "mean_token_accuracy": 0.23953365683555602, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.721116971969605, + "epoch": 7.186506231198969, + "grad_norm": 1.3515625, + "learning_rate": 0.0001469245600710573, + "loss": 4.9142, + "mean_token_accuracy": 0.23049890249967575, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.765688562393189, + "epoch": 7.1908036097980235, + "grad_norm": 1.3984375, + "learning_rate": 0.00014665133854277742, + "loss": 4.9404, + "mean_token_accuracy": 0.23336558789014816, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.735818195343017, + "epoch": 7.195100988397078, + "grad_norm": 1.296875, + "learning_rate": 0.0001463783972766737, + "loss": 4.9266, + "mean_token_accuracy": 0.2335692301392555, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.662823820114136, + "epoch": 7.199398366996133, + "grad_norm": 1.3828125, + "learning_rate": 0.0001461057368687407, + "loss": 4.8986, + "mean_token_accuracy": 0.23986562192440034, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.674626255035401, + "epoch": 7.203695745595187, + "grad_norm": 1.265625, + "learning_rate": 0.00014583335791435971, + "loss": 4.8528, + "mean_token_accuracy": 0.23885561674833297, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.70451512336731, + "epoch": 7.207993124194242, + "grad_norm": 1.2265625, + "learning_rate": 0.00014556126100829774, + "loss": 4.892, + "mean_token_accuracy": 0.23383982479572296, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.693902921676636, + "epoch": 7.212290502793296, + "grad_norm": 1.265625, + "learning_rate": 0.00014528944674470546, + "loss": 4.8329, + "mean_token_accuracy": 0.24579360634088515, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.755379295349121, + "epoch": 7.216587881392351, + "grad_norm": 1.34375, + "learning_rate": 0.0001450179157171166, + "loss": 4.9272, + "mean_token_accuracy": 0.22800333052873611, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.779269552230835, + "epoch": 7.220885259991405, + "grad_norm": 1.3671875, + "learning_rate": 0.00014474666851844632, + "loss": 5.0026, + "mean_token_accuracy": 0.22174182534217834, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.700813627243042, + "epoch": 7.22518263859046, + "grad_norm": 1.3359375, + "learning_rate": 0.00014447570574099028, + "loss": 4.8268, + "mean_token_accuracy": 0.24628832787275315, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.798207378387451, + "epoch": 7.229480017189514, + "grad_norm": 1.2109375, + "learning_rate": 0.00014420502797642283, + "loss": 4.9036, + "mean_token_accuracy": 0.2389177218079567, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.763958597183228, + "epoch": 7.233777395788569, + "grad_norm": 1.328125, + "learning_rate": 0.000143934635815796, + "loss": 4.9717, + "mean_token_accuracy": 0.23086747974157334, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.7297776222229, + "epoch": 7.2380747743876235, + "grad_norm": 1.3984375, + "learning_rate": 0.0001436645298495381, + "loss": 4.94, + "mean_token_accuracy": 0.23809971809387206, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.714357185363769, + "epoch": 7.242372152986678, + "grad_norm": 1.2578125, + "learning_rate": 0.00014339471066745262, + "loss": 4.9314, + "mean_token_accuracy": 0.2272237628698349, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.724672031402588, + "epoch": 7.246669531585733, + "grad_norm": 1.3515625, + "learning_rate": 0.000143125178858717, + "loss": 4.9833, + "mean_token_accuracy": 0.23164504915475845, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.796184444427491, + "epoch": 7.250966910184787, + "grad_norm": 1.265625, + "learning_rate": 0.00014285593501188083, + "loss": 4.9863, + "mean_token_accuracy": 0.23062566369771959, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.771311235427857, + "epoch": 7.255264288783842, + "grad_norm": 1.21875, + "learning_rate": 0.00014258697971486492, + "loss": 4.9502, + "mean_token_accuracy": 0.2327966347336769, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.756986951828003, + "epoch": 7.259561667382896, + "grad_norm": 1.3046875, + "learning_rate": 0.00014231831355496045, + "loss": 4.9571, + "mean_token_accuracy": 0.23196402341127395, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.693323469161987, + "epoch": 7.263859045981951, + "grad_norm": 1.1640625, + "learning_rate": 0.00014204993711882662, + "loss": 4.9305, + "mean_token_accuracy": 0.23500606417655945, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.764274072647095, + "epoch": 7.268156424581005, + "grad_norm": 1.265625, + "learning_rate": 0.0001417818509924906, + "loss": 4.9943, + "mean_token_accuracy": 0.23025406748056412, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.704707050323487, + "epoch": 7.27245380318006, + "grad_norm": 1.1875, + "learning_rate": 0.000141514055761345, + "loss": 4.9009, + "mean_token_accuracy": 0.23704942613840102, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.759627199172973, + "epoch": 7.276751181779114, + "grad_norm": 1.3515625, + "learning_rate": 0.00014124655201014786, + "loss": 4.8612, + "mean_token_accuracy": 0.2423098489642143, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.754227495193481, + "epoch": 7.281048560378169, + "grad_norm": 1.2890625, + "learning_rate": 0.00014097934032302037, + "loss": 4.8634, + "mean_token_accuracy": 0.237603360414505, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.696844053268433, + "epoch": 7.2853459389772235, + "grad_norm": 1.3046875, + "learning_rate": 0.00014071242128344593, + "loss": 4.9555, + "mean_token_accuracy": 0.23301202952861785, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.71226954460144, + "epoch": 7.289643317576278, + "grad_norm": 1.390625, + "learning_rate": 0.0001404457954742691, + "loss": 4.8754, + "mean_token_accuracy": 0.24334413707256317, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.732396030426026, + "epoch": 7.2939406961753335, + "grad_norm": 1.484375, + "learning_rate": 0.00014017946347769423, + "loss": 4.9541, + "mean_token_accuracy": 0.23008962273597716, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.693571281433106, + "epoch": 7.298238074774388, + "grad_norm": 1.3515625, + "learning_rate": 0.00013991342587528377, + "loss": 4.8234, + "mean_token_accuracy": 0.24324662387371063, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.704442405700684, + "epoch": 7.302535453373443, + "grad_norm": 1.28125, + "learning_rate": 0.00013964768324795752, + "loss": 4.8677, + "mean_token_accuracy": 0.24231224954128266, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.546972805852288, + "eval_loss": 5.898355960845947, + "eval_mean_token_accuracy": 0.1819473335032796, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0519, + "eval_samples_per_second": 1729.602, + "eval_steps_per_second": 216.383, + "step": 8500 + }, + { + "entropy": 5.66387529373169, + "epoch": 7.306832831972497, + "grad_norm": 1.203125, + "learning_rate": 0.00013938223617599124, + "loss": 4.9421, + "mean_token_accuracy": 0.23342001885175706, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.74355845451355, + "epoch": 7.311130210571552, + "grad_norm": 1.4375, + "learning_rate": 0.00013911708523901514, + "loss": 4.9755, + "mean_token_accuracy": 0.23636211156845094, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.763104438781738, + "epoch": 7.315427589170606, + "grad_norm": 1.2734375, + "learning_rate": 0.00013885223101601303, + "loss": 4.8955, + "mean_token_accuracy": 0.23637697100639343, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.71501669883728, + "epoch": 7.319724967769661, + "grad_norm": 1.265625, + "learning_rate": 0.00013858767408532051, + "loss": 4.8816, + "mean_token_accuracy": 0.24099365025758743, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.723988056182861, + "epoch": 7.324022346368715, + "grad_norm": 1.375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8774, + "mean_token_accuracy": 0.23590993583202363, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.737170457839966, + "epoch": 7.32831972496777, + "grad_norm": 1.46875, + "learning_rate": 0.00013805945441096057, + "loss": 4.9277, + "mean_token_accuracy": 0.23668332844972612, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.7540687084197994, + "epoch": 7.332617103566824, + "grad_norm": 1.375, + "learning_rate": 0.00013779579282071364, + "loss": 4.9306, + "mean_token_accuracy": 0.2349459186196327, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.676801681518555, + "epoch": 7.336914482165879, + "grad_norm": 1.28125, + "learning_rate": 0.00013753243082961512, + "loss": 4.8768, + "mean_token_accuracy": 0.24011008739471434, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.68070273399353, + "epoch": 7.3412118607649335, + "grad_norm": 1.328125, + "learning_rate": 0.00013726936901274246, + "loss": 4.8393, + "mean_token_accuracy": 0.24872156083583832, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.800928020477295, + "epoch": 7.345509239363988, + "grad_norm": 1.21875, + "learning_rate": 0.0001370066079445174, + "loss": 4.9704, + "mean_token_accuracy": 0.23076788932085038, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.79030556678772, + "epoch": 7.349806617963043, + "grad_norm": 1.2421875, + "learning_rate": 0.00013674414819870502, + "loss": 5.0745, + "mean_token_accuracy": 0.22369800060987471, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.730133438110352, + "epoch": 7.354103996562097, + "grad_norm": 1.3984375, + "learning_rate": 0.00013648199034841264, + "loss": 4.92, + "mean_token_accuracy": 0.2387056604027748, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.69276180267334, + "epoch": 7.358401375161152, + "grad_norm": 1.34375, + "learning_rate": 0.0001362201349660882, + "loss": 4.8912, + "mean_token_accuracy": 0.24466140568256378, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.666532707214356, + "epoch": 7.362698753760206, + "grad_norm": 1.3203125, + "learning_rate": 0.0001359585826235192, + "loss": 4.8956, + "mean_token_accuracy": 0.24125270992517472, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.799620962142944, + "epoch": 7.366996132359261, + "grad_norm": 1.3984375, + "learning_rate": 0.00013569733389183126, + "loss": 4.9952, + "mean_token_accuracy": 0.22822352200746537, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.758121490478516, + "epoch": 7.371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.00013543638934148736, + "loss": 4.9296, + "mean_token_accuracy": 0.23435905277729036, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.814731168746948, + "epoch": 7.37559088955737, + "grad_norm": 1.359375, + "learning_rate": 0.000135175749542286, + "loss": 4.9821, + "mean_token_accuracy": 0.22124236524105073, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.67050518989563, + "epoch": 7.379888268156424, + "grad_norm": 1.21875, + "learning_rate": 0.0001349154150633604, + "loss": 4.8697, + "mean_token_accuracy": 0.2459047943353653, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.741513633728028, + "epoch": 7.384185646755479, + "grad_norm": 1.2578125, + "learning_rate": 0.000134655386473177, + "loss": 5.0171, + "mean_token_accuracy": 0.22208292037248611, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.637994432449341, + "epoch": 7.3884830253545335, + "grad_norm": 1.4375, + "learning_rate": 0.00013439566433953427, + "loss": 4.892, + "mean_token_accuracy": 0.2412777841091156, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.720129156112671, + "epoch": 7.392780403953588, + "grad_norm": 1.3359375, + "learning_rate": 0.0001341362492295616, + "loss": 4.89, + "mean_token_accuracy": 0.2424454867839813, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.777584362030029, + "epoch": 7.397077782552643, + "grad_norm": 1.46875, + "learning_rate": 0.00013387714170971776, + "loss": 4.9287, + "mean_token_accuracy": 0.22944550216197968, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.785937261581421, + "epoch": 7.401375161151697, + "grad_norm": 1.265625, + "learning_rate": 0.00013361834234579012, + "loss": 5.0178, + "mean_token_accuracy": 0.22616576850414277, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.6717626571655275, + "epoch": 7.405672539750752, + "grad_norm": 1.3671875, + "learning_rate": 0.0001333598517028931, + "loss": 4.9006, + "mean_token_accuracy": 0.23272989243268966, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.688118124008179, + "epoch": 7.409969918349806, + "grad_norm": 1.3125, + "learning_rate": 0.00013310167034546688, + "loss": 4.887, + "mean_token_accuracy": 0.2374843627214432, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.749850463867188, + "epoch": 7.414267296948861, + "grad_norm": 1.3984375, + "learning_rate": 0.0001328437988372763, + "loss": 4.9595, + "mean_token_accuracy": 0.22750054448843002, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.756968069076538, + "epoch": 7.418564675547916, + "grad_norm": 1.3125, + "learning_rate": 0.00013258623774140967, + "loss": 4.9342, + "mean_token_accuracy": 0.2360052227973938, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.706060266494751, + "epoch": 7.422862054146971, + "grad_norm": 1.375, + "learning_rate": 0.00013232898762027766, + "loss": 4.8852, + "mean_token_accuracy": 0.2418963521718979, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.772034740447998, + "epoch": 7.427159432746025, + "grad_norm": 1.2734375, + "learning_rate": 0.00013207204903561154, + "loss": 4.978, + "mean_token_accuracy": 0.23209577053785324, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.702054405212403, + "epoch": 7.43145681134508, + "grad_norm": 1.234375, + "learning_rate": 0.00013181542254846247, + "loss": 4.8473, + "mean_token_accuracy": 0.2422897547483444, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.75566291809082, + "epoch": 7.435754189944134, + "grad_norm": 1.390625, + "learning_rate": 0.0001315591087192002, + "loss": 4.9831, + "mean_token_accuracy": 0.2323268622159958, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.655916357040406, + "epoch": 7.440051568543189, + "grad_norm": 1.234375, + "learning_rate": 0.00013130310810751162, + "loss": 4.8862, + "mean_token_accuracy": 0.23978102058172227, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.784155988693238, + "epoch": 7.4443489471422435, + "grad_norm": 1.3671875, + "learning_rate": 0.00013104742127239983, + "loss": 5.016, + "mean_token_accuracy": 0.22613199800252914, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.7693627834320065, + "epoch": 7.448646325741298, + "grad_norm": 1.1484375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9986, + "mean_token_accuracy": 0.22481437474489213, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.737584114074707, + "epoch": 7.452943704340353, + "grad_norm": 1.375, + "learning_rate": 0.00013053699116449144, + "loss": 4.9084, + "mean_token_accuracy": 0.22960878312587737, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.89331545829773, + "epoch": 7.457241082939407, + "grad_norm": 1.203125, + "learning_rate": 0.00013028224900627026, + "loss": 5.0301, + "mean_token_accuracy": 0.21912138164043427, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.803331756591797, + "epoch": 7.461538461538462, + "grad_norm": 1.0625, + "learning_rate": 0.00013002782285377395, + "loss": 4.9622, + "mean_token_accuracy": 0.2376553386449814, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.750441551208496, + "epoch": 7.465835840137516, + "grad_norm": 1.4375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9946, + "mean_token_accuracy": 0.2235792651772499, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.789198493957519, + "epoch": 7.470133218736571, + "grad_norm": 1.5, + "learning_rate": 0.00012951992078752528, + "loss": 4.9474, + "mean_token_accuracy": 0.2321646735072136, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.744178915023804, + "epoch": 7.474430597335625, + "grad_norm": 1.1953125, + "learning_rate": 0.00012926644598282798, + "loss": 4.9459, + "mean_token_accuracy": 0.22402314394712447, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.74596061706543, + "epoch": 7.47872797593468, + "grad_norm": 1.234375, + "learning_rate": 0.0001290132894019634, + "loss": 4.9661, + "mean_token_accuracy": 0.23607563078403473, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.778988885879516, + "epoch": 7.483025354533734, + "grad_norm": 1.28125, + "learning_rate": 0.00012876045159772442, + "loss": 4.9489, + "mean_token_accuracy": 0.23937921822071076, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.773708295822144, + "epoch": 7.487322733132789, + "grad_norm": 1.3359375, + "learning_rate": 0.00012850793312220766, + "loss": 4.9283, + "mean_token_accuracy": 0.23426500260829924, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.674078750610351, + "epoch": 7.4916201117318435, + "grad_norm": 1.25, + "learning_rate": 0.00012825573452681266, + "loss": 4.8773, + "mean_token_accuracy": 0.24968714416027069, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.735969209671021, + "epoch": 7.495917490330898, + "grad_norm": 1.375, + "learning_rate": 0.00012800385636224017, + "loss": 4.9358, + "mean_token_accuracy": 0.23501814007759095, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.747404956817627, + "epoch": 7.500214868929953, + "grad_norm": 1.40625, + "learning_rate": 0.00012775229917849162, + "loss": 4.9054, + "mean_token_accuracy": 0.23629093021154404, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.761697673797608, + "epoch": 7.504512247529007, + "grad_norm": 1.234375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8979, + "mean_token_accuracy": 0.2428216427564621, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.700611209869384, + "epoch": 7.508809626128062, + "grad_norm": 1.171875, + "learning_rate": 0.00012725014994996534, + "loss": 4.9339, + "mean_token_accuracy": 0.24504542350769043, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.807457494735718, + "epoch": 7.513107004727116, + "grad_norm": 1.25, + "learning_rate": 0.00012699955900168075, + "loss": 4.9282, + "mean_token_accuracy": 0.229953795671463, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.729871797561645, + "epoch": 7.517404383326171, + "grad_norm": 1.3046875, + "learning_rate": 0.00012674929122720414, + "loss": 4.9777, + "mean_token_accuracy": 0.2232517972588539, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.635332775115967, + "epoch": 7.521701761925225, + "grad_norm": 1.2265625, + "learning_rate": 0.0001264993471730202, + "loss": 4.8575, + "mean_token_accuracy": 0.24274646639823913, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.737993383407593, + "epoch": 7.52599914052428, + "grad_norm": 1.3046875, + "learning_rate": 0.00012624972738490675, + "loss": 5.0013, + "mean_token_accuracy": 0.22250534743070602, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.810367679595947, + "epoch": 7.530296519123334, + "grad_norm": 1.21875, + "learning_rate": 0.00012600043240793368, + "loss": 4.9765, + "mean_token_accuracy": 0.2321833461523056, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.74908938407898, + "epoch": 7.534593897722389, + "grad_norm": 1.3671875, + "learning_rate": 0.00012575146278646175, + "loss": 4.8922, + "mean_token_accuracy": 0.23532313406467437, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.7044130802154545, + "epoch": 7.5388912763214435, + "grad_norm": 1.21875, + "learning_rate": 0.00012550281906414097, + "loss": 4.9005, + "mean_token_accuracy": 0.23530834317207336, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.754625558853149, + "epoch": 7.543188654920499, + "grad_norm": 1.234375, + "learning_rate": 0.00012525450178390972, + "loss": 4.9416, + "mean_token_accuracy": 0.2437831625342369, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.779452610015869, + "epoch": 7.547486033519553, + "grad_norm": 1.3046875, + "learning_rate": 0.0001250065114879939, + "loss": 4.9461, + "mean_token_accuracy": 0.23520458936691285, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.705014038085937, + "epoch": 7.551783412118608, + "grad_norm": 1.2890625, + "learning_rate": 0.00012475884871790505, + "loss": 4.8667, + "mean_token_accuracy": 0.2412562444806099, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.8083795547485355, + "epoch": 7.556080790717663, + "grad_norm": 1.296875, + "learning_rate": 0.00012451151401443982, + "loss": 5.0036, + "mean_token_accuracy": 0.22445941120386123, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.658902978897094, + "epoch": 7.560378169316717, + "grad_norm": 1.3046875, + "learning_rate": 0.00012426450791767815, + "loss": 4.8297, + "mean_token_accuracy": 0.24630579203367234, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.727620363235474, + "epoch": 7.564675547915772, + "grad_norm": 1.34375, + "learning_rate": 0.00012401783096698283, + "loss": 4.7861, + "mean_token_accuracy": 0.24524826556444168, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.739884567260742, + "epoch": 7.568972926514826, + "grad_norm": 1.203125, + "learning_rate": 0.00012377148370099764, + "loss": 4.9565, + "mean_token_accuracy": 0.22828071862459182, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.752638149261474, + "epoch": 7.573270305113881, + "grad_norm": 1.3046875, + "learning_rate": 0.00012352546665764642, + "loss": 4.9625, + "mean_token_accuracy": 0.22861632257699965, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.631821250915527, + "epoch": 7.577567683712935, + "grad_norm": 1.25, + "learning_rate": 0.00012327978037413219, + "loss": 4.8393, + "mean_token_accuracy": 0.2455634668469429, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.749710655212402, + "epoch": 7.58186506231199, + "grad_norm": 1.3828125, + "learning_rate": 0.00012303442538693564, + "loss": 4.9425, + "mean_token_accuracy": 0.23156363964080812, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.689564323425293, + "epoch": 7.586162440911044, + "grad_norm": 1.390625, + "learning_rate": 0.00012278940223181393, + "loss": 4.8338, + "mean_token_accuracy": 0.23270008265972136, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.725271081924438, + "epoch": 7.590459819510099, + "grad_norm": 1.25, + "learning_rate": 0.00012254471144379964, + "loss": 4.8128, + "mean_token_accuracy": 0.25256053656339644, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.727273273468017, + "epoch": 7.5947571981091535, + "grad_norm": 1.21875, + "learning_rate": 0.00012230035355719968, + "loss": 4.9651, + "mean_token_accuracy": 0.23480646908283234, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.772902631759644, + "epoch": 7.599054576708208, + "grad_norm": 1.2421875, + "learning_rate": 0.0001220563291055941, + "loss": 4.9437, + "mean_token_accuracy": 0.23261293321847915, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.765447664260864, + "epoch": 7.603351955307263, + "grad_norm": 1.3125, + "learning_rate": 0.0001218126386218347, + "loss": 4.9353, + "mean_token_accuracy": 0.23733194619417192, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.6730225563049315, + "epoch": 7.607649333906317, + "grad_norm": 1.3671875, + "learning_rate": 0.00012156928263804403, + "loss": 4.8637, + "mean_token_accuracy": 0.24171005487442015, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.743314933776856, + "epoch": 7.611946712505372, + "grad_norm": 1.421875, + "learning_rate": 0.0001213262616856144, + "loss": 5.0012, + "mean_token_accuracy": 0.2306993141770363, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.747490549087525, + "epoch": 7.616244091104426, + "grad_norm": 1.4453125, + "learning_rate": 0.00012108357629520635, + "loss": 4.9057, + "mean_token_accuracy": 0.2387942299246788, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.7210612297058105, + "epoch": 7.620541469703481, + "grad_norm": 1.34375, + "learning_rate": 0.00012084122699674785, + "loss": 4.8936, + "mean_token_accuracy": 0.23947659581899644, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.73658299446106, + "epoch": 7.624838848302535, + "grad_norm": 1.375, + "learning_rate": 0.00012059921431943278, + "loss": 4.943, + "mean_token_accuracy": 0.22805553525686265, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.778007841110229, + "epoch": 7.62913622690159, + "grad_norm": 1.4453125, + "learning_rate": 0.00012035753879172026, + "loss": 5.1314, + "mean_token_accuracy": 0.21736743450164794, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.67980465888977, + "epoch": 7.633433605500644, + "grad_norm": 1.375, + "learning_rate": 0.00012011620094133296, + "loss": 4.7809, + "mean_token_accuracy": 0.25052584558725355, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.683636951446533, + "epoch": 7.637730984099699, + "grad_norm": 1.2421875, + "learning_rate": 0.00011987520129525622, + "loss": 4.923, + "mean_token_accuracy": 0.2359049841761589, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.739316749572754, + "epoch": 7.6420283626987535, + "grad_norm": 1.46875, + "learning_rate": 0.000119634540379737, + "loss": 4.9459, + "mean_token_accuracy": 0.23375426828861237, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.769543027877807, + "epoch": 7.646325741297808, + "grad_norm": 1.3359375, + "learning_rate": 0.00011939421872028262, + "loss": 4.9518, + "mean_token_accuracy": 0.2293008342385292, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.688256788253784, + "epoch": 7.650623119896863, + "grad_norm": 1.296875, + "learning_rate": 0.00011915423684165948, + "loss": 4.8695, + "mean_token_accuracy": 0.2363400101661682, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.784082841873169, + "epoch": 7.654920498495917, + "grad_norm": 1.21875, + "learning_rate": 0.00011891459526789198, + "loss": 4.9513, + "mean_token_accuracy": 0.23087790459394456, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.750850200653076, + "epoch": 7.659217877094972, + "grad_norm": 1.2578125, + "learning_rate": 0.0001186752945222616, + "loss": 4.9408, + "mean_token_accuracy": 0.230193392932415, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.741831827163696, + "epoch": 7.663515255694026, + "grad_norm": 1.171875, + "learning_rate": 0.00011843633512730562, + "loss": 4.891, + "mean_token_accuracy": 0.23511849343776703, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.710381603240966, + "epoch": 7.667812634293082, + "grad_norm": 1.28125, + "learning_rate": 0.00011819771760481576, + "loss": 4.9056, + "mean_token_accuracy": 0.24004074782133103, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.659539985656738, + "epoch": 7.672110012892135, + "grad_norm": 1.3203125, + "learning_rate": 0.00011795944247583725, + "loss": 4.827, + "mean_token_accuracy": 0.2396245777606964, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.710673809051514, + "epoch": 7.676407391491191, + "grad_norm": 1.2265625, + "learning_rate": 0.00011772151026066789, + "loss": 4.8812, + "mean_token_accuracy": 0.23135425001382828, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.770887327194214, + "epoch": 7.680704770090245, + "grad_norm": 1.2421875, + "learning_rate": 0.00011748392147885642, + "loss": 5.0019, + "mean_token_accuracy": 0.22777645140886307, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.739024114608765, + "epoch": 7.6850021486893, + "grad_norm": 1.5390625, + "learning_rate": 0.00011724667664920177, + "loss": 4.9316, + "mean_token_accuracy": 0.23300305306911467, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.772635078430175, + "epoch": 7.689299527288354, + "grad_norm": 1.375, + "learning_rate": 0.00011700977628975183, + "loss": 5.0259, + "mean_token_accuracy": 0.22466233223676682, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.75628547668457, + "epoch": 7.693596905887409, + "grad_norm": 1.359375, + "learning_rate": 0.00011677322091780243, + "loss": 4.9441, + "mean_token_accuracy": 0.230313977599144, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.782389211654663, + "epoch": 7.6978942844864635, + "grad_norm": 1.3125, + "learning_rate": 0.0001165370110498958, + "loss": 4.9823, + "mean_token_accuracy": 0.22912768721580506, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.8072168827056885, + "epoch": 7.702191663085518, + "grad_norm": 1.3125, + "learning_rate": 0.00011630114720181989, + "loss": 4.9706, + "mean_token_accuracy": 0.2286185145378113, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.725326013565064, + "epoch": 7.706489041684573, + "grad_norm": 1.3046875, + "learning_rate": 0.00011606562988860711, + "loss": 4.9052, + "mean_token_accuracy": 0.23271812498569489, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.704691696166992, + "epoch": 7.710786420283627, + "grad_norm": 1.1796875, + "learning_rate": 0.0001158304596245332, + "loss": 4.8801, + "mean_token_accuracy": 0.23317846804857253, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.673254013061523, + "epoch": 7.715083798882682, + "grad_norm": 1.265625, + "learning_rate": 0.00011559563692311595, + "loss": 4.8871, + "mean_token_accuracy": 0.2425983503460884, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.715083312988281, + "epoch": 7.719381177481736, + "grad_norm": 1.25, + "learning_rate": 0.00011536116229711422, + "loss": 4.87, + "mean_token_accuracy": 0.23960913121700286, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.771728086471557, + "epoch": 7.723678556080791, + "grad_norm": 1.2734375, + "learning_rate": 0.000115127036258527, + "loss": 4.9468, + "mean_token_accuracy": 0.22923657298088074, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.707568883895874, + "epoch": 7.727975934679845, + "grad_norm": 1.375, + "learning_rate": 0.00011489325931859185, + "loss": 4.8257, + "mean_token_accuracy": 0.2456026166677475, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.703813886642456, + "epoch": 7.7322733132789, + "grad_norm": 1.2578125, + "learning_rate": 0.0001146598319877843, + "loss": 4.884, + "mean_token_accuracy": 0.2391938716173172, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.542284931685473, + "eval_loss": 5.893875598907471, + "eval_mean_token_accuracy": 0.18242550859445925, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0469, + "eval_samples_per_second": 1733.83, + "eval_steps_per_second": 216.912, + "step": 9000 + }, + { + "entropy": 5.730257511138916, + "epoch": 7.736570691877954, + "grad_norm": 1.40625, + "learning_rate": 0.00011442675477581621, + "loss": 4.946, + "mean_token_accuracy": 0.23982110470533372, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.769806432723999, + "epoch": 7.740868070477009, + "grad_norm": 1.2890625, + "learning_rate": 0.0001141940281916352, + "loss": 4.8663, + "mean_token_accuracy": 0.23052393943071364, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.7794060707092285, + "epoch": 7.7451654490760635, + "grad_norm": 1.2578125, + "learning_rate": 0.00011396165274342304, + "loss": 4.9934, + "mean_token_accuracy": 0.2219093069434166, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.702830696105957, + "epoch": 7.749462827675118, + "grad_norm": 1.2421875, + "learning_rate": 0.00011372962893859471, + "loss": 4.9375, + "mean_token_accuracy": 0.22916385978460313, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.685720300674438, + "epoch": 7.753760206274173, + "grad_norm": 1.28125, + "learning_rate": 0.00011349795728379759, + "loss": 4.9439, + "mean_token_accuracy": 0.2307956948876381, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.757158088684082, + "epoch": 7.758057584873227, + "grad_norm": 1.3046875, + "learning_rate": 0.00011326663828491, + "loss": 5.0021, + "mean_token_accuracy": 0.22755355685949324, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.731455373764038, + "epoch": 7.762354963472282, + "grad_norm": 1.4140625, + "learning_rate": 0.00011303567244704015, + "loss": 4.9722, + "mean_token_accuracy": 0.23510894626379014, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.787262058258056, + "epoch": 7.766652342071336, + "grad_norm": 1.296875, + "learning_rate": 0.00011280506027452502, + "loss": 5.0529, + "mean_token_accuracy": 0.21928364634513856, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.7590248584747314, + "epoch": 7.770949720670391, + "grad_norm": 1.3828125, + "learning_rate": 0.0001125748022709295, + "loss": 4.9702, + "mean_token_accuracy": 0.23275834918022156, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.787170457839966, + "epoch": 7.775247099269445, + "grad_norm": 1.2421875, + "learning_rate": 0.00011234489893904509, + "loss": 4.9795, + "mean_token_accuracy": 0.2291556641459465, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.732330751419068, + "epoch": 7.7795444778685, + "grad_norm": 1.3125, + "learning_rate": 0.00011211535078088869, + "loss": 4.8429, + "mean_token_accuracy": 0.24395294189453126, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.7382737159729, + "epoch": 7.783841856467554, + "grad_norm": 1.375, + "learning_rate": 0.00011188615829770171, + "loss": 4.9092, + "mean_token_accuracy": 0.23593527376651763, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.710181808471679, + "epoch": 7.788139235066609, + "grad_norm": 1.375, + "learning_rate": 0.00011165732198994905, + "loss": 4.9434, + "mean_token_accuracy": 0.23322095423936845, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.713530969619751, + "epoch": 7.792436613665664, + "grad_norm": 1.375, + "learning_rate": 0.00011142884235731756, + "loss": 4.9257, + "mean_token_accuracy": 0.23757666498422622, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.7721363544464115, + "epoch": 7.796733992264718, + "grad_norm": 1.5390625, + "learning_rate": 0.00011120071989871564, + "loss": 5.0154, + "mean_token_accuracy": 0.2297023668885231, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.661825942993164, + "epoch": 7.8010313708637735, + "grad_norm": 1.2109375, + "learning_rate": 0.00011097295511227134, + "loss": 4.8963, + "mean_token_accuracy": 0.2394334778189659, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.722220945358276, + "epoch": 7.805328749462827, + "grad_norm": 1.296875, + "learning_rate": 0.0001107455484953321, + "loss": 4.9024, + "mean_token_accuracy": 0.23700267672538758, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6848217964172365, + "epoch": 7.809626128061883, + "grad_norm": 1.34375, + "learning_rate": 0.00011051850054446306, + "loss": 4.9151, + "mean_token_accuracy": 0.23075505644083022, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.663630819320678, + "epoch": 7.813923506660937, + "grad_norm": 1.4375, + "learning_rate": 0.00011029181175544603, + "loss": 4.8506, + "mean_token_accuracy": 0.2431934058666229, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.792266893386841, + "epoch": 7.818220885259992, + "grad_norm": 1.4140625, + "learning_rate": 0.00011006548262327884, + "loss": 5.0166, + "mean_token_accuracy": 0.23040284514427184, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.806525135040284, + "epoch": 7.822518263859046, + "grad_norm": 1.2890625, + "learning_rate": 0.0001098395136421739, + "loss": 4.9812, + "mean_token_accuracy": 0.22473449409008026, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.760424566268921, + "epoch": 7.826815642458101, + "grad_norm": 1.1875, + "learning_rate": 0.00010961390530555712, + "loss": 4.9704, + "mean_token_accuracy": 0.22575420886278152, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.756677484512329, + "epoch": 7.831113021057155, + "grad_norm": 1.265625, + "learning_rate": 0.00010938865810606682, + "loss": 4.9295, + "mean_token_accuracy": 0.23352717459201813, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.738250303268432, + "epoch": 7.83541039965621, + "grad_norm": 1.1875, + "learning_rate": 0.00010916377253555293, + "loss": 4.9336, + "mean_token_accuracy": 0.22934698015451432, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.708257818222046, + "epoch": 7.839707778255264, + "grad_norm": 1.328125, + "learning_rate": 0.00010893924908507573, + "loss": 4.8916, + "mean_token_accuracy": 0.2412150412797928, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7717221736907955, + "epoch": 7.844005156854319, + "grad_norm": 1.390625, + "learning_rate": 0.0001087150882449046, + "loss": 4.9687, + "mean_token_accuracy": 0.23071876615285875, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.744738292694092, + "epoch": 7.8483025354533735, + "grad_norm": 1.265625, + "learning_rate": 0.00010849129050451717, + "loss": 4.9183, + "mean_token_accuracy": 0.23448994606733323, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.703471088409424, + "epoch": 7.852599914052428, + "grad_norm": 1.234375, + "learning_rate": 0.00010826785635259842, + "loss": 4.8756, + "mean_token_accuracy": 0.23654707819223403, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.713053512573242, + "epoch": 7.856897292651483, + "grad_norm": 1.4765625, + "learning_rate": 0.00010804478627703903, + "loss": 4.8403, + "mean_token_accuracy": 0.2534535199403763, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.770458030700683, + "epoch": 7.861194671250537, + "grad_norm": 1.6015625, + "learning_rate": 0.00010782208076493508, + "loss": 4.9587, + "mean_token_accuracy": 0.23223767578601837, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.747208118438721, + "epoch": 7.865492049849592, + "grad_norm": 1.3359375, + "learning_rate": 0.00010759974030258621, + "loss": 4.9428, + "mean_token_accuracy": 0.2311663582921028, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.7243444442749025, + "epoch": 7.869789428448646, + "grad_norm": 1.1796875, + "learning_rate": 0.00010737776537549531, + "loss": 4.9326, + "mean_token_accuracy": 0.24079572409391403, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.710455989837646, + "epoch": 7.874086807047701, + "grad_norm": 1.3515625, + "learning_rate": 0.00010715615646836679, + "loss": 4.8984, + "mean_token_accuracy": 0.23725621849298478, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.641438770294189, + "epoch": 7.878384185646755, + "grad_norm": 1.21875, + "learning_rate": 0.00010693491406510585, + "loss": 4.8848, + "mean_token_accuracy": 0.2445200726389885, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.747666835784912, + "epoch": 7.88268156424581, + "grad_norm": 1.328125, + "learning_rate": 0.00010671403864881757, + "loss": 4.9711, + "mean_token_accuracy": 0.2317958801984787, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.759106779098511, + "epoch": 7.8869789428448644, + "grad_norm": 1.2421875, + "learning_rate": 0.00010649353070180562, + "loss": 4.9623, + "mean_token_accuracy": 0.2380196452140808, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.734574794769287, + "epoch": 7.891276321443919, + "grad_norm": 1.296875, + "learning_rate": 0.00010627339070557118, + "loss": 4.9401, + "mean_token_accuracy": 0.24096089154481887, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.685746860504151, + "epoch": 7.8955737000429735, + "grad_norm": 1.2734375, + "learning_rate": 0.00010605361914081194, + "loss": 4.854, + "mean_token_accuracy": 0.24479493349790574, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.758388519287109, + "epoch": 7.899871078642028, + "grad_norm": 1.1640625, + "learning_rate": 0.00010583421648742125, + "loss": 4.8878, + "mean_token_accuracy": 0.24218843132257462, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.73368878364563, + "epoch": 7.904168457241083, + "grad_norm": 1.34375, + "learning_rate": 0.00010561518322448673, + "loss": 4.993, + "mean_token_accuracy": 0.22797715663909912, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.702595281600952, + "epoch": 7.908465835840137, + "grad_norm": 1.4140625, + "learning_rate": 0.00010539651983028955, + "loss": 4.868, + "mean_token_accuracy": 0.2413019374012947, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.685127592086792, + "epoch": 7.912763214439192, + "grad_norm": 1.3671875, + "learning_rate": 0.0001051782267823031, + "loss": 4.8558, + "mean_token_accuracy": 0.24108621031045913, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.721054267883301, + "epoch": 7.917060593038247, + "grad_norm": 1.3515625, + "learning_rate": 0.00010496030455719225, + "loss": 4.9251, + "mean_token_accuracy": 0.23336865305900573, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.724647521972656, + "epoch": 7.921357971637301, + "grad_norm": 1.34375, + "learning_rate": 0.00010474275363081193, + "loss": 4.9328, + "mean_token_accuracy": 0.23269153237342835, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.702741193771362, + "epoch": 7.925655350236356, + "grad_norm": 1.375, + "learning_rate": 0.0001045255744782064, + "loss": 4.9025, + "mean_token_accuracy": 0.24020729959011078, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.816455984115601, + "epoch": 7.92995272883541, + "grad_norm": 1.28125, + "learning_rate": 0.00010430876757360817, + "loss": 4.9837, + "mean_token_accuracy": 0.22814977616071702, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.668118476867676, + "epoch": 7.934250107434465, + "grad_norm": 1.359375, + "learning_rate": 0.00010409233339043694, + "loss": 4.8047, + "mean_token_accuracy": 0.24403645545244218, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.670865440368653, + "epoch": 7.93854748603352, + "grad_norm": 1.3359375, + "learning_rate": 0.00010387627240129838, + "loss": 4.8691, + "mean_token_accuracy": 0.23790572285652162, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.739948797225952, + "epoch": 7.942844864632574, + "grad_norm": 1.1953125, + "learning_rate": 0.00010366058507798326, + "loss": 4.9214, + "mean_token_accuracy": 0.2339615508913994, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.705602979660034, + "epoch": 7.947142243231629, + "grad_norm": 1.296875, + "learning_rate": 0.00010344527189146655, + "loss": 4.9528, + "mean_token_accuracy": 0.2274705156683922, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.739188241958618, + "epoch": 7.9514396218306835, + "grad_norm": 1.1875, + "learning_rate": 0.00010323033331190626, + "loss": 4.9274, + "mean_token_accuracy": 0.23373161852359772, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.76418023109436, + "epoch": 7.955737000429738, + "grad_norm": 1.3125, + "learning_rate": 0.00010301576980864228, + "loss": 4.8603, + "mean_token_accuracy": 0.2446628138422966, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.694305419921875, + "epoch": 7.960034379028793, + "grad_norm": 1.3671875, + "learning_rate": 0.00010280158185019547, + "loss": 4.9073, + "mean_token_accuracy": 0.24446062594652176, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.697159719467163, + "epoch": 7.964331757627847, + "grad_norm": 1.15625, + "learning_rate": 0.00010258776990426686, + "loss": 4.927, + "mean_token_accuracy": 0.24162409752607344, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.729753589630127, + "epoch": 7.968629136226902, + "grad_norm": 1.4375, + "learning_rate": 0.00010237433443773612, + "loss": 4.9118, + "mean_token_accuracy": 0.23850051164627076, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.655977869033814, + "epoch": 7.972926514825956, + "grad_norm": 1.203125, + "learning_rate": 0.00010216127591666115, + "loss": 4.9269, + "mean_token_accuracy": 0.24168841391801835, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.739932727813721, + "epoch": 7.977223893425011, + "grad_norm": 1.5234375, + "learning_rate": 0.00010194859480627648, + "loss": 4.9567, + "mean_token_accuracy": 0.2386748567223549, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.675134468078613, + "epoch": 7.981521272024065, + "grad_norm": 1.203125, + "learning_rate": 0.00010173629157099279, + "loss": 4.9575, + "mean_token_accuracy": 0.2281126633286476, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.714840936660766, + "epoch": 7.98581865062312, + "grad_norm": 1.15625, + "learning_rate": 0.00010152436667439537, + "loss": 4.9519, + "mean_token_accuracy": 0.23581907600164415, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.750794839859009, + "epoch": 7.9901160292221745, + "grad_norm": 1.3125, + "learning_rate": 0.00010131282057924345, + "loss": 4.888, + "mean_token_accuracy": 0.23815936595201492, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.780832004547119, + "epoch": 7.994413407821229, + "grad_norm": 1.25, + "learning_rate": 0.00010110165374746924, + "loss": 4.8951, + "mean_token_accuracy": 0.24371608346700668, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.744164609909058, + "epoch": 7.9987107864202835, + "grad_norm": 1.28125, + "learning_rate": 0.00010089086664017674, + "loss": 5.0412, + "mean_token_accuracy": 0.22926397770643234, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.742586241828071, + "epoch": 8.002578427159433, + "grad_norm": 1.296875, + "learning_rate": 0.00010068045971764067, + "loss": 4.8669, + "mean_token_accuracy": 0.240800850921207, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.752298831939697, + "epoch": 8.006875805758487, + "grad_norm": 1.3203125, + "learning_rate": 0.00010047043343930561, + "loss": 4.9556, + "mean_token_accuracy": 0.239510677754879, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.703397274017334, + "epoch": 8.011173184357542, + "grad_norm": 1.359375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7841, + "mean_token_accuracy": 0.2428373247385025, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.756609344482422, + "epoch": 8.015470562956596, + "grad_norm": 1.265625, + "learning_rate": 0.00010005152464886031, + "loss": 4.8276, + "mean_token_accuracy": 0.23863828033208848, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.721332359313965, + "epoch": 8.019767941555651, + "grad_norm": 1.21875, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2455083206295967, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.687017393112183, + "epoch": 8.024065320154705, + "grad_norm": 1.21875, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.2540111944079399, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.612176132202149, + "epoch": 8.02836269875376, + "grad_norm": 1.234375, + "learning_rate": 9.942602773296971e-05, + "loss": 4.7719, + "mean_token_accuracy": 0.2532846137881279, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.7741395950317385, + "epoch": 8.032660077352816, + "grad_norm": 1.2578125, + "learning_rate": 9.921829492156223e-05, + "loss": 4.9684, + "mean_token_accuracy": 0.23141839802265168, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.75913782119751, + "epoch": 8.03695745595187, + "grad_norm": 1.5, + "learning_rate": 9.901094594713933e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23183894604444505, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.784180068969727, + "epoch": 8.041254834550925, + "grad_norm": 1.28125, + "learning_rate": 9.88039812624682e-05, + "loss": 4.9053, + "mean_token_accuracy": 0.23992706537246705, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.799221658706665, + "epoch": 8.045552213149978, + "grad_norm": 1.1328125, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2353417918086052, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.754740142822266, + "epoch": 8.049849591749034, + "grad_norm": 1.265625, + "learning_rate": 9.839120656925407e-05, + "loss": 4.9271, + "mean_token_accuracy": 0.2309979572892189, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.699716949462891, + "epoch": 8.054146970348087, + "grad_norm": 1.3046875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8744, + "mean_token_accuracy": 0.23718750476837158, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.7823670387268065, + "epoch": 8.058444348947143, + "grad_norm": 1.5, + "learning_rate": 9.797997444725745e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24111505299806596, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.69295825958252, + "epoch": 8.062741727546197, + "grad_norm": 1.28125, + "learning_rate": 9.77749379734506e-05, + "loss": 4.8774, + "mean_token_accuracy": 0.24546006321907043, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.734280729293824, + "epoch": 8.067039106145252, + "grad_norm": 1.3359375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8781, + "mean_token_accuracy": 0.23956651538610457, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.702370309829712, + "epoch": 8.071336484744306, + "grad_norm": 1.2734375, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8929, + "mean_token_accuracy": 0.23692873120307922, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.742789077758789, + "epoch": 8.075633863343361, + "grad_norm": 1.265625, + "learning_rate": 9.716215227086997e-05, + "loss": 4.832, + "mean_token_accuracy": 0.24452268034219743, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.737786293029785, + "epoch": 8.079931241942415, + "grad_norm": 1.2421875, + "learning_rate": 9.695866642971098e-05, + "loss": 4.8761, + "mean_token_accuracy": 0.23521246314048766, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.735822296142578, + "epoch": 8.08422862054147, + "grad_norm": 1.3046875, + "learning_rate": 9.67555693596621e-05, + "loss": 4.922, + "mean_token_accuracy": 0.23624190241098403, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.697363328933716, + "epoch": 8.088525999140524, + "grad_norm": 1.2890625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.843, + "mean_token_accuracy": 0.24786596596240998, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.631302261352539, + "epoch": 8.09282337773958, + "grad_norm": 1.234375, + "learning_rate": 9.635054330597565e-05, + "loss": 4.7635, + "mean_token_accuracy": 0.2543473169207573, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.75023717880249, + "epoch": 8.097120756338633, + "grad_norm": 1.3515625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.8539, + "mean_token_accuracy": 0.24282941818237305, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.703547573089599, + "epoch": 8.101418134937688, + "grad_norm": 1.3359375, + "learning_rate": 9.594707764746881e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24557766914367676, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.64467306137085, + "epoch": 8.105715513536742, + "grad_norm": 1.2265625, + "learning_rate": 9.57459310682e-05, + "loss": 4.8587, + "mean_token_accuracy": 0.23592619597911835, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.759531688690186, + "epoch": 8.110012892135797, + "grad_norm": 1.2265625, + "learning_rate": 9.554517590817055e-05, + "loss": 4.9168, + "mean_token_accuracy": 0.22910912930965424, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.783081340789795, + "epoch": 8.114310270734851, + "grad_norm": 1.1953125, + "learning_rate": 9.534481260574944e-05, + "loss": 4.9094, + "mean_token_accuracy": 0.2321816936135292, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.742900657653808, + "epoch": 8.118607649333907, + "grad_norm": 1.25, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8874, + "mean_token_accuracy": 0.2349926143884659, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.771203088760376, + "epoch": 8.12290502793296, + "grad_norm": 1.3359375, + "learning_rate": 9.494526332292899e-05, + "loss": 4.9252, + "mean_token_accuracy": 0.23223545551300048, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.734961462020874, + "epoch": 8.127202406532016, + "grad_norm": 1.265625, + "learning_rate": 9.47460782149857e-05, + "loss": 4.9111, + "mean_token_accuracy": 0.2386125445365906, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.759470748901367, + "epoch": 8.13149978513107, + "grad_norm": 1.234375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.9004, + "mean_token_accuracy": 0.22731278389692305, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.70623517036438, + "epoch": 8.135797163730125, + "grad_norm": 1.2890625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.8315, + "mean_token_accuracy": 0.24042012691497802, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.785218620300293, + "epoch": 8.140094542329178, + "grad_norm": 1.2421875, + "learning_rate": 9.415088624172997e-05, + "loss": 4.9279, + "mean_token_accuracy": 0.23537793904542922, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.756191349029541, + "epoch": 8.144391920928234, + "grad_norm": 1.296875, + "learning_rate": 9.395327814490439e-05, + "loss": 4.931, + "mean_token_accuracy": 0.23400909453630447, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.731492424011231, + "epoch": 8.148689299527287, + "grad_norm": 1.3515625, + "learning_rate": 9.375606538175566e-05, + "loss": 4.8581, + "mean_token_accuracy": 0.24122172892093657, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.7561249256134035, + "epoch": 8.152986678126343, + "grad_norm": 1.2265625, + "learning_rate": 9.35592483829175e-05, + "loss": 4.9404, + "mean_token_accuracy": 0.23250404745340347, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.7169372081756595, + "epoch": 8.157284056725398, + "grad_norm": 1.3046875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.9114, + "mean_token_accuracy": 0.23848976343870162, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.70046215057373, + "epoch": 8.161581435324452, + "grad_norm": 1.3125, + "learning_rate": 9.316680339638664e-05, + "loss": 4.9403, + "mean_token_accuracy": 0.23490447849035262, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.563689900948121, + "eval_loss": 5.894437789916992, + "eval_mean_token_accuracy": 0.18221602075406024, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.101, + "eval_steps_per_second": 216.32, + "step": 9500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3885703429294080.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9500/training_args.bin b/checkpoint-9500/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/checkpoint-9500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353 diff --git a/config.json b/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..fce24fe --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a9086b2f4517640b69b280b2f0ce541d9543bef2e33aa2ee6a01ae05f06319a +size 78179408 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/spiece.model b/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..10d86f5 --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25f0a9930263496b107a7d23910fe48a865809212601d0d58dda370a02af1618 +size 6353